Cluster Growth Through Monomer Adsorption Processes

We propose a monomer adsorption model, in which only the monomers are allowed to diffuse and adsorb onto other clusters. By means of the generalized rate equation we investigate the kinetic behavior of the system with a special rate kernel. For the system without monomer input, the concentration aj（t） of the Aj clusters （j 〉 1） asymptotically retains a nonzero quantity, while for the system with monomer input, it decays with time and vanishes finally. We also investigate the kinetics of an interesting model with fixed-rate monomer adsorption. For the ease without monomer source, the evolution of the system will halt at a finite time; while the system evolves infinitely in time in the case with monomer source. Finally, we also suggest a connection between the fixed-rate monomer adsorption systems and growing networks.     

High entanglement generation and high fidelity quantum state transfer in a non-Markovian environment

This paper analyses a system of two independent qubits off-resonantly coupled to a common non-Markovian reservoir at zero temperature. Compared with the results in Markovian reservoirs, we find that much higher values of entanglement can be obtained for an initially factorized state of the two-qubit system. The maximal value of the entanglement increases as the detuning grows. Moreover, the entanglement induced by non-Markovian environments is more robust against the asymmetrical couplings between the two qubits and the reservoir. Based on this system, we also show that quantum state transfer can be implemented for arbitrary input states with high fidelity in the non-Markovian regime rather than the Markovian case in which only some particular input states can be successfully transferred.     

动态输入率和服务率设定下的M/M/c模型扩展及其应用

为了解决M/M/c模型中恒定输入率和服务率假设与现实现象不符的问题,本文提出了随系统状态变化的输入概率和服务度,并通过新输入概率与平均输入率以及新服务度与平均服务率的结合分别构造了动态输入率和服务率。基于上述动态输入率和动态服务率,建立了依赖系统当前状态的状态转移过程,从状态转换强度方面优化了排队理论及其度量模型,同时,设计了结合系统实际的后确定法求解动态输入率与服务率的相关参数,从而构建了扩展M/M/c模型。由于输入率和服务率的动态性,扩展M/M/c模型具有比原排队论模型更广的适用范围和精度更高的模拟结果。最后,通过一个生活实例对新模型的有效性和实用性进行验证。     

密布式多输入多输出声呐阵列目标波达方向估计

针对低信噪比条件下多输入多输出声呐受对称噪声分量影响导致测向性能降低的情况,提出了一种基于协方差矩阵重构方法的波达方向估计算法。首先,将噪声场分为对称噪声和非对称噪声两部分,利用协方差矩阵虚部与对称信号无关的性质,去掉协方差矩阵的实部来降低对称噪声对目标波达方向估计精度的影响,采用降维转换方法和矩阵虚部置换原理重构协方差矩阵的实部,避免了双频谱的干扰。然后利用Toeplitz方法对重构的协方差矩阵进行解相干修正,通过奇异值分解获得噪声子空间,最后对目标的波达方向进行估计,可实现微弱信号的准确测向。理论分析和实验结果表明,该方法明显抑制了对称噪声,提高了目标的波达方向估计性能,具有运算速度快、自由度高和目标分辨力强的特点。      

水平动量注入型等离子体合成射流激励器工作特性

等离子体合成射流控制技术因其具有不需要外部气源、工作频带宽、射流速度高、射流净质量通量为零、低功耗、激励器形式多样、环境适应性强等特点,成为了目前针对高速流场主动流动控制技术中应用潜能大、有望实现实际工程应用突破的流动控制装置.传统的等离子体激励器的出口多为垂直于流向或与流向成一定夹角,故垂直于流向的动量分量会对激励器的流动控制能力产生影响.为增强流向动量注入能力,拟设计一种新型的水平动量注入型等离子体合成射流激励器.主要内容有:采用外部电路电参数测量与高速纹影技术,对激励器常压下单周期工作特性与重频工作特性进行了初步研究.对水平动量注入型等离子体合成射流激励器的射流结构进行了分析,探究了该激励器工作频率对射流流场的流场特性与控制能力的影响.最后在高速纹影测量的基础上,开展了激励器高频工作时均出口动压的研究.实验表明:水平动量注入型激励器单周期射流初始速度达到220 m/s,单周期激波初始速度达到477 m/s.此外,工作频率对于激励器的影响主要体现在对激励器控制范围的影响,当激励器工作频率增高时,在相同位置时激励器的动压输入能力下降.      

W波段TE02模式回旋行波管带宽输入耦合器设计

输入耦合器是回旋行波管的重要组成部分之一,其作用是将矩形波导TE₁₀模式的信号,通过模式变换结构转换为回旋放大器件中的模式,输入耦合器性能的优劣直接影响了回旋管整管的带宽等性能。通过对W波段TE₀₂模式回旋行波管的输入耦合器进行理论分析,指出影响主模传输损耗的一个因素是杂模的崛起使主模的传输系数降低,利用仿真软件进行仿真,通过优化耦合孔的尺寸,抑制杂模的产生,将损耗从3.9 dB降低到了0.8 dB。根据优化尺寸加工,实际测试,得到3.0 dB带宽7.9 GHz的输入耦合器,与设计符合较好。     

热声制冷机板叠内流动与换热的数值分析

本文采用基于压力修正算法的可压缩交变流动程序,采用适体坐标生成网格,AUSM 格式离散N-S方程和能量方程,计算了二维基本型热声制冷机板叠内的流动与换热情况,探讨了板叠附近的温度随时间的变化,分析了周期时均能量.由模拟结果可以看出,在气体冷端,能量由气体进入板叠,时均能量为正,在气体热端,能量由板叠进入气体,时均能量为负,板叠热端的时均能量稍大于板叠冷端的时均能量,板叠产生了冷量.但与输入功相比,板叠产生的冷量较小,因此系统的内能增加,气体冷端的温度增加.并且随着板叠的厚度的增加,板叠冷热端温差先增大后减小,并存在最佳板叠厚度使得冷热端的温差达到最大.     

人工神经网络对VOCs的自动识别

利用人工神经网络(ANN)对严重混叠的傅里叶变换红外光谱图进行了定性和定量解析。通过大量模拟数据训练神经网络后,引用了新的评价标准——逼近度来选择最优网络模型。利用此优化网络对两类光谱图进行了解析,考察了网络的泛化能力。结果表明：该网络不仅能够对两组分同时存在时的样本进行准确解析,而且对于未知单组分光谱图,也能够进行准确鉴别和定量分析。可见, 该研究为人工神经网络在单组分和多组分未知物的定性和定量分析方面提供了一种新思路。     

Effect on Intensity Correlation Time by Input Signal in a Single-Mode Laser with Bias Signal Modulation

The effect on intensity correlation time T by input signal is studied for gain-noise model of a single-mode laser driven by colored pump noise and colored quantum noise with colored cross-correlation with a bias signal modulation in this paper. By using the linear approximation method, we detect that there exists maximum （i.e., resonance） in the curve of the intensity correlation time T upon bias current io when the noise correlation coefficient λ is positive; and there exists minimum （i.e., suppression） in the T-io curve when λ is negative. And whenλ is zero, T increases monotonously with increasing io. Furthermore, the curve of T upon the signal frequency Ω is also studied. Our study shows that no matter what the value of λ is, there exists minimum （i.e., suppression） in the T-Ω curve.     

Quantum teleportation by entanglement swapping with trapped ions

An effective teleportation scheme for an unknown ionic internal state via trapped ions is proposed without joint Bell-state measurement (BSM). In the constructed quantum channel process, we make use of entanglement swapping to avoid decrease in entanglement during the distributing of particles. Thus our scheme provides new prospects for quantum teleportation in a longer distance. The distinct advantage of our scheme is insensitive to the heating of vibrational mode. Furthermore, our scheme has no any individual optical access, and the successful probability also can reach 1.