Energy landscape study by telegraph noise of domain wall motion

The energy barrier landscape in-between two adjacent pinning sites of magnetic domain wall was investigated by telegraph noise of domain wall motion. The telegraph noise provided numerous depinning times for each pinning site, from which the depinning energy barrier characteristics were extracted. By generating the telegraph noise under application of magnetic field and electric current, the energy barrier landscape could be reconstructed with the barrier height and lateral size of the adjacent pinning sites. The lateral size fits well with other independent estimation based on the signal level with the focused laser beam, providing the validity of the present approach.     

Dynamic Active Noise Control of Broadband Noise in Fighter Aircraft Pilot Helmet

This paper presents the development of a dynamic Active Noise Control (ANC) algorithm aimed towards reducing the broadband noise inside the helmet earcups of a fighter aircraft pilot helmet. The dynamic ANC involves a Variable Step-Size Griffiths (VSSG) FxLMS algorithm to attenuate noise entering directly through helmet, a LMS based adaptive noise canceller to attenuate noise entering through the pilot microphone, and energy detectors for failure protection and optimized battery power usage. The algorithms are implemented on Texas Instruments’ TMS320C6748 processor and are tested in a helmet ANC experimental setup.     

Effects of colored noise on the dynamics of quantum entanglement of a one-parameter qubit—qutrit system

We analyzed the effect of colored noise on the negativity dynamics of a hybrid system consisting of a qubit-qutrit and not interacting, prepared from the start in an entangled one-parameter state and acting with noise in local and non-local environments. In this pink and brown noise we investigated two different situations: in the first situation, the noise is produced by a bistable oscillator with an unknown exchange rate; however, in the second situation, the noise is generated by a set of bistable oscillators. We found that entanglement decreases with time to zero, and undergoes the phenomenon of sudden death and rebirth. The pink noise is more prone to entanglement than the brown noise and the non-local environment is more prone to entanglement than the local one. When the number of fluctuators is increased, entanglement decays faster and finally, for certain parameters of the initial state, the subsystems are not affected by the noise.     

Nano-friction phenomenon of Frenkel—Kontorova model under Gaussian colored noise

The nano-friction phenomenon in a one-dimensional Frenkel-Kontorova (FK) model under Gaussian colored noise is investigated by using the molecular dynamic simulation method. The role of colored noise is analyzed through the inclusion of a stochastic force via a Langevin molecular dynamics method. Via the stochastic Runge-Kutta algorithm, the relationship between different parameter values of the Gaussian colored noise (the noise intensity and the correlation time) and the nano-friction phenomena such as hysteresis, the maximum static friction force is separately studied here. Similar results are obtained from the two geometrically opposed ideal cases: incommensurate and commensurate interfaces. It was found that the noise strongly influences the hysteresis and maximum static friction force and with an appropriate external driving force, the introduction of noise can accelerate the motion of the system, making the atoms escape from the substrate potential well more easily. Interestingly, suitable correlation time and noise intensity give rise to super-lubricity. It is noteworthy that the difference between the two circumstances lies in the fact that the effect of the noise is much stronger on triggering the motion of the FK model for the commensurate interface than that for the incommensurate interface.     

TCVQ-SVM algorithm for narrowband spectrum sensing

Spectrum sensing is viewed as the basic and crucial technology for cognitive radio. To improve the accuracy of spectrum sensing in low signal to noise ratio (SNR), this paper presents an efficient TCVQ-SVM method based on machine learning for narrowband spectrum sensing. Firstly, trace of covariance matrix and variance of quadratic covariance matrix (TCVQ) is extracted as feature vectors and combined as training samples of spectrum sensing. Then, the classification model can be achieved by training samples based on support vector machine (SVM), which can avoid setting threshold and adjusting classification hyperplane by its self-learning ability. Lastly, the result of spectrum sensing can be obtained. By utilizing trace and variance as input features of SVM, the algorithm can make full use of the eigenvalue difference and structure characteristic of the received signal, and at the same time, achieve good performance in low SNR. Theoretical analysis reveals that the proposed method has low computational complexity. Simulation results and experiments on the hardware platform illustrate that the proposed algorithm is effective and robust.     

基于纹理特征的小麦锈病动态模拟方法

病害仿真是农业信息化的重要研究内容之一,通过模拟病害发生过程,可方便直观有效地宣传作物病害有关知识。病害模拟在教学、影视及游戏等领域也有重大应用价值。为实现作物病害过程模拟,以小麦为研究对象,在温度与湿度变化环境下,对小麦条锈病、叶锈病、秆锈病3种锈病类型进行基于纹理特征的动态仿真模拟。用噪声模拟分布在小麦茎叶上的孢子堆,通过调整噪声属性模拟不同的锈病类型,从而达到逼真的模拟效果;通过改变遮罩贴图中红绿蓝（RGB）3种颜色分量的分布,指定模拟发病位置,区分小麦锈病的发病类型;通过着色器调整指定位置作物模型表面贴图,以径向为扩散路径,完成植株从完好到完全发病的可视化过程。该方法模拟效果较好,具有一定的研究意义与应用价值,可为其他作物的多病害模拟提供参考。     

Identification of an inverse source problem for time‐fractional diffusion equation with random noise

In this paper, we consider an inverse source problem for a time fractional diffusion equation. In general, this problem is ill posed, therefore we shall construct a regularized solution using the filter regularization method in the random noise case. We will provide appropriate conditions to guarantee the convergence of the approximate solution to the exact solution. Then, we provide examples of filters in order to obtain error estimates for their approximate solutions. Finally, we present a numerical example to show efficiency of the method.     

一类非自治分数阶随机波动方程的随机吸引子

本文考虑带加性噪声的非自治分数阶随机波动方程在无界区域R~n上的渐近行为.首先将随机偏微分方程转化为随机方程,其解产生一个随机动力系统,然后运用分解技术建立该系统的渐近紧性,最后证明随机吸引子的存在性.     

Slot scintillation detector modeling for digital radiography

A scanning slot X-ray digital detector operating at relatively high photon energies, mainly 70 kVp for dental radiography, has been designed and modeled. In this energy range, further improvements are required in order to attain optimal image quality for the lowest achievable mean absorbed dose to the patient. This paper concerns the investigation of the physics of imaging using a structured screen composed of a scintillating fiber optic (LKH-6/CCD system) and its performance by Monte Carlo (MC) simulation. The A_s factor, X-ray cross-talk, quantum noise effect on resultant values of Detective Quantum Efficiency (DQE) and Modulation Transfer Function (MTF) are discussed. The results of this paper should serve as a useful guide in the engineering design of future structured screen/CCD based systems.