基于国产CPU的并行冗余计算机系统研究

目前国家不断推进的国产自主可控信息系统建设,其核心国产计算机系统由于技术成熟度低、市场推广晚等原因,暴露出可靠性低、稳定性差的问题,直接导致系统功能无法成功应用。围绕国产化计算机系统的并行冗余架构开展研究,通过计算机系统架构的软硬件设计,以及高速缓存一致性架构、高速互联总线和三状态转换机制方法的应用,基于国产CPU 并行冗余计算机系统,可以有效消除备份计算机系统进行当班切换时,存在的切换时间延时和切换过程数据丢失的问题。通过试验验证,该系统可以完成计算机系统中CPU处理器和功能桥片故障模式的容错处理,并保障信息数据的完整性和实时性,有效提高设备中计算机系统的工作可靠性与稳定性。     

甲虫与橡胶带问题的延伸话题

讨论甲虫与气球、甲虫在可伸缩曲线上的运动以及星系间的航行等问题.     

Improved Programming Efficiency through Additional Boron Implantation at the Active Area Edge in 90nm Localized Charge-Trapping Non-volatile Memory

As the scaling-down of non-volatile memory （NVM） cells continues, the impact of shallow trench isolation （STI） on NVM cells becomes more severe. It has been observed in the 90nm localized charge-trapping non-volatile memory （NROMTM） that the programming efficiency of edge cells adjacent to STI is remarkably lower than that of other cells when channel hot electron injection is applied. Boron segregation is found to be mainly responsible for the low programming efficiency of edge cells. Meanwhile, an additional boron implantation of 10°tilt at the active area edge as a new solution to solve this problem is developed.     

SUPERSYMMETRIC SU(1|2) GAUDIN MODEL

In this paper, we propose a supersymmetric SU(1|2) Gaudin model and have derived its eigenvalues. We also present the well-defined eigenstates through the quasi-classical limit of the eigenstates in the supersymmetric t-J model.     

光源在光学实验中的应用

本文对大学物理光学实验中常用光源做简单介绍,使学生明确不同的光源用于不同的实验目的。     

Design and optimization of with low weakly-coupled few-mode fiber nonlinearity

By investigating the influence of the difference of refractive index between core and cladding （nco - ncl）, normalized frequency （V） and core radius （α） on both the intramodal and intermodal nonlinear coefficients （NCs） respectively, we design a novel weakly-coupled four-mode fiber with low nonlinearity. In general, under the premise of ensuring the low NCs between two non-degenerate modes, this design can reduce the intermodal NCs （〈 0.5 W-l·km^-1） between two degenerate modes and optimizes the parameters of differential group delays （DGDs） and chromatic dispersion. The optimized few mode fiber （FMF） is eligible for transmission and mode de-multiplexing in the receiver.     

电容温度传感器的实验研究

从液氮温度到水的沸点温度范围内,测量了介质分别为钽,涤纶,陶瓷,玻璃釉和陶瓷独石一体化结构的商用固体电容器的电容量-温度之间的关系.拟合测量结果表明,独石陶瓷电容器在正温度段具有较好的线性响应(-10pF/℃),灵敏度(0.1 ℃)和精确度(标准差为0.016);而涤纶电容器在负温度段的特性较好( 17pF/℃,0.06 ℃和0.01).此外,在约0.5特斯拉的恒定磁场作用下,无论在正或负温度段,上述测得的电容量-温度关系几乎不受影响.因此,本研究对开发抗强电磁场,自加热效应小或导热系数小的低温测温器具有较大的参考价值.     

A study on small-world brain functional networks altered by postherpetic neuralgia

Understanding the effect of postherpetic neuralgia (PHN) pain on brain activity is important for clinical strategies. This is the first study, to our knowledge, to relate PHN pain to small-world properties of brain functional networks. Functional magnetic resonance imaging (fMRI) was used to construct functional brain networks of the subjects during the resting state. Sixteen patients with PHN pain and 16 (8 males, 8 females for both groups) age-matched controls were studied. The PHN patients exhibited decreased local efficiency along with non-significant changes of global efficiency in comparison with the healthy controls. Moreover, regional nodal efficiency was found to be significantly affected by PHN pain in the areas related to sense (postcentral gyrus, inferior parietal gyrus and thalamus), memory/affective processes (parahippocampal gyrus) and emotional activities (putamen). Significant correlation (p < 0.05) was also found between the nodal efficiency of putamen and pain intensity in PHN patients. Our results suggest that PHN modulates the local efficiency, and the small-world properties of brain networks may have potentials to objectively evaluate pain information in clinic.     

听觉频域掩蔽效应的自适应β阶贝叶斯感知估计语音增强算法

为了在噪声抑制和语音失真中之间寻找最佳平衡,提出了一种听觉频域掩蔽效应的自适应β阶贝叶斯感知估计语音增强算法,以期提高语音增强的综合性能。算法利用了人耳的听觉掩蔽效应,根据计算得到的频域掩蔽阈自适应调整β阶贝叶斯感知估计语音增强算法中的β值,从而仅将噪声抑制在掩蔽阈之下,保留较多的语音信息,降低语音失真。并分别用客观和主观评价方式,对所提出的算法的性能进行了评估,并与原来基于信噪比的自适应β阶贝叶斯感知估计语音增强算法进行了比较。结果表明,频域掩蔽的β阶贝叶斯感知估计方法的综合客观评价结果在信噪比为-10 dB至5 dB之间时均高于基于信噪比的自适应β阶贝叶斯感知估计语音增强算法。主观评价结果也表明频域掩蔽的β阶贝叶斯感知估计方法能在尽量保留语音信息的同时,较好的抑制背景噪声。