A study of reactor neutrino monitoring at the experimental fast reactor JOYO

We carried out a study of neutrino detection at the experimental fast reactor JOYO using a 0.76 tons gadolinium loaded liquid scintillator detector. The detector was set up on the ground level at 24.3 m from the JOYO reactor core of 140 MW thermal power. The measured neutrino event rate from reactor on-off comparison was 1.11±1.24(stat.)±0.46(syst.) events/day. Although the statistical significance of the measurement was not enough, backgrounds in such a compact detector at the ground level were studied in detail and MC simulations were found to describe the data well. A study for improvement of the detector for future such experiments is also shown.     

Structural and electronic properties of Ti-nanowires/C-single wall nanotubes composites by density functional theory calculations

Structural and electronic properties of composite Ti-nanowires/single wall carbon nanotubes ((6,0) and (10,0)) (SWNT) were evaluated by means of density functional theory computations. We considered the cases of monoatomic (MNW), BCC (β-NW) and HCP (α-NW) nanowires that were either inserted or deposited in/on the SWNTs. In all cases the NWs turn the cylindrical SWNTs’ shape to ellipsoid, an effect that is closely related to charge transfer from Ti toward C neighboring atoms. We found that the wires inside the SWNT appear to be more stable compared to the outside cases, while all NWs contribute with new energy states at the Fermi level, transforming the semiconducting (10,0) to a conducting composite. In addition, we found spin up–down differences in the β-NW_on case and electronic charge redistributions e.g. in α-NW_in (charge accumulation internally along the tube's axis) or in α-NW_on (superficial charge accumulation in the vicinity of the NW), accompanied by manifestation of electric dipole moment that reaches the value of 10 Debye in a-NW_on. These results may be of use in the design of new C-based nanocomposite systems suitable for applications in microelectronics, sensors and catalysis.     

智能优化灰色模型在中期用电量预测中的应用

传统GM(1,1)模型在参数a的绝对值较小的情况下近期用电量预测精度较高,中期用电量预测往往误差较大,一定程度上是由于GM(1,1)模型的背景值x(1)(k)取前后2个时刻的平均值造成的.引入向量θ得背景值序列的精确计算式,将GM(1,1)模型推广为GM(1,1,θ)模型.应用微粒群优化这一智能算法求解最优向量,从而构建GM(1,1,θ)模型,并将该模型应用于山东省中期用电量预测.实例分析表明,与传统GM(1,1)预测模型相比,智能优化模型较好地得到了预测点的预测结果,更适用于中期用电量预测.     

硼向晶界扩散机理的研究

通过解变温扩散方程,导出非平衡晶界偏聚的数学表达式,建立了晶界贫硼局域尺寸与淬火加热温度、冷却速度以及非平衡晶界偏聚扩散激活能与扩散系数之间的关系,所得结果与实验结果相一致.     

Transition‐Metal Dichalcogenide NiTe2: An Ambient‐Stable Material for Catalysis and Nanoelectronics

By means of theory and experiments, the application capability of nickel ditelluride (NiTe₂) transition‐metal dichalcogenide in catalysis and nanoelectronics is assessed. The Te surface termination forms a TeO₂ skin in an oxygen environment. In ambient atmosphere, passivation is achieved in less than 30 min with the TeO₂ skin having a thickness of about 7 Å. NiTe₂ shows outstanding tolerance to CO exposure and stability in water environment, with subsequent good performance in both hydrogen and oxygen evolution reactions. NiTe₂‐based devices consistently demonstrate superb ambient stability over a timescale as long as one month. Specifically, NiTe₂ has been implemented in a device that exhibits both superior performance and environmental stability at frequencies above 40 GHz, with possible applications as a receiver beyond the cutoff frequency of a nanotransistor.     

基于E语言的外部存储器接口的功能验证

在SoC设计中,传统功能验证方法已显示出其缺点,主要问题有：复杂验证场景难以构建;边缘情况难以覆盖。针对这些问题,业界提出了一种新的功能验证方法学——受限随机矢量生成的功能验证,该方法在满足约束条件的前提下,随机产生验证矢量。本文研究了受限随机矢量生成的功能验证在SoC设计中的应用,并以基于E语言和Specman验证平台验证了SoC芯片中的外部存储器接口,给出了具体的验证环境和验证步骤。验证结果表明,复杂验证场景和边缘情况的覆盖率均达到了100％。极大地提高了验证的效率和质量。     

一类基于VMSR的恒虚警检测器

设计了一类基于VMSR的改进型恒虚警检测器,给出了检测器的检测结构框图,同时描述了该类检测器的检测模型并给出了相应的检测概率表达式。该类检测器通过VR删除算法自适应删除杂波背景中的干扰样本,并将剩余样本按照不同操作得到杂波背景功率估计,提高了复杂杂波背景下检测器的精确性及鲁棒性。通过与典型VMSR-CFAR检测器的仿真对比实验,验证了该类检测器的检测性能。     

基于时空域滤波的红外弱小目标背景抑制

在红外成像探测系统中,对红外图像背景进行有效的抑制是准确检测出弱小目标的前提条件.基于目标在空域局部灰度稳定和时域运动连续的约束,提出了一种基于时空域滤波的红外弱小目标背景抑制新方法.首先,利用引导滤波保存图像细节和时域偏微分方程提取图像中突变区域的优势,实现对图像空域与时域中平稳和强起伏不同特征复杂背景进行抑制处理;然后,将时空域背景抑制结果利用相与操作算子处理完成对高度类似弱小目标信号的剔除;最后,为恢复前期抑制结果中丢失的目标信息,利用时空域融合结果作为引导图像进行进一步优化处理,得到最终背景抑制结果.仿真实验采用两组低信杂比运动弱小目标红外图像序列进行方法验证,并将该方法与几种背景抑制方法进行了比较,实验结果表明:该方法无论从主观视觉还是客观评价指标上均优于其他几种方法.     

非线性离散时间系统的自适应函数观测器

针对一大类非线性离散时间系统提出了一种自适应函数观测器(AFO)。通过引入状态变换，得到了一类降阶形式的状态估计问题。采用一种稍加修改的强跟踪滤波算法估计降阶状态向量，然后利用降阶状态向量估计非线性状态函数。给出了AFO局部渐近收敛的充分条件。数值仿真示例显示AFO是一种具有强跟踪性质的自适应观测器，能在估计非线性状态函数的同时准确估计未知时变参数。