基于改进粗糙集理论的SAR图像目标增强

图像增强在提高SAR图像舰船目标检测精度方面具有十分重要的意义。由于传统算法不能很好地对SAR图像进行目标增强，提出了基于改进粗糙集理论和引力场强度的目标增强算法。通过借鉴引力场相关理论知识，将粗糙集条件属性集中的梯度属性改进为引力场强度属性，从而实现对原图像的目标增强。与其他算法进行了实验比较，结果表明提出的改进算法相比于其他算法更适用于SAR图像特性，能更好地对舰船目标像素进行针对性增强，具备一定的工程应用价值。     

基于语言模型的预训练技术研究综述

预训练技术当前在自然语言处理领域占有举足轻重的位置。尤其近两年提出的ELMo、GTP、BERT、XLNet、T5、GTP-3等预训练模型的成功,进一步将预训练技术推向了研究高潮。该文从语言模型、特征抽取器、上下文表征、词表征四个方面对现存的主要预训练技术进行了分析和分类,并分析了当前自然语言处理中的预训练技术面临的主要问题和发展趋势。     

基于快中子多重性计数器的Pu样品属性测量研究及改进

快中子多重性计数（fast neutron multiplicity counting, FNMC）分析方法能有效实现对样品属性的测量。本文在研究四阶FNMC分析方程的基础上，利用Geant4模拟搭建了1套3层、每层6个液闪的快中子多重性计数器，并确定了相关参数的数值。模拟设置外部具有1 cm厚的铁、铝、碳和不锈钢包装材料的金属Pu样品，通过方程适应性分析，该放射源基本满足设定的假设。对探测效率和多重计数率等测量参数进行模拟，当Pu样品质量在500 g以内时，由于增加碳作为包装材料，使得样品求解质量偏差增大的幅度小于1.20%，铁材料和不锈钢材料影响较小。根据测量结果，对无外壳条件下的样品进行增殖系数修正，得到三阶多项式拟合方程，拟合优度为0.933，质量在1 kg以内的样品，修正后的求解质量偏差小于6.00%。研究结果表明：1 cm厚的中重金属对Pu样品的测量影响较小，模拟搭建的快中子多重性计数器和系数修正相结合的方式实现了对样品属性的较准确测量。     

复合固体推进剂中固体填料的安息角测试与仿真

复合固体推进剂含有固体颗粒较多，离散单元法是一种适合固体推进剂生产过程数值仿真的有效方法，颗粒物料的接触参数是保证离散单元法仿真精度的关键。本文以复合固体推进剂的主要组分铝粉和高氯酸铵固体颗粒为研究对象，通过实验测试获得了相关物料的安息角，利用专业离散元软件EDEM仿真模拟了安息角测试实验过程，建立了物料安息角与接触参数之间的联系。研究表明，滚动摩擦系数和滑动摩擦系数越大，安息角越大，物料流动性越差。对比仿真与实验结果，通过逆向反推法确定了物料的滑动摩擦系数和滚动摩擦系数两个关键接触参数。铝粉与高氯酸铵1∶2混合颗粒的滑动摩擦系数为0.2，滚动摩擦系数为0.05。为固体推进剂加工生产过程离散元数值仿真提供了关键基础数据。     

Memory Nonfragile Output Feedback Robust MPC for Polytopic Time-delayed Systems with Constraints

International Journal of Control, Automation and Systems - This paper investigates memory nonfragile mixed-objective output feedback robust model predictive control (OFRMPC) for a class of...     

Analysis and improvement of the influence of sample shape on Pu measurement results

ABSTRACT

The analysis method of Fast Neutron Multiplicity Counting (FNMC) plays an increasingly important role in the measurement of nuclear material properties. Based on the assumption of point model, fast neutron multiplicity measurement equation is derived which can be used to measure the mass of Pu sample. However, the deviation of the simulated measurement of 1 kg Pu sample reaches 16.6% and increases with mass. Because nonpoint source samples of different shapes do not fully satify the hypothesis. To correct this deviation, a set of fast neutron multiplicity counters was built by Geant4 to simulate and study the mass attribute of Pu samples.The cylindrical sources of different shapes and different masses were simulated, the self-multiplication factor and α coefficient were corrected.And the corresponding third-order polynomial fitting equation was obtained, the goodness of fit was greater than 0.970. In the same way, the spherical and spherical shell source samples in the mass range of 0–5 kg were analyzed, the corrected mass deviation of samples was less than 10% in this interval. The results show that the combination of the fast neutron multiplicity counter and parameter correction can accurately measure the sample mass attribute.     

Fault detection and diagnostic method of diesel engine by combining rule-based algorithm and BNs/BPNNs

The stable operation of diesel engine is critical to the normal production of the industry, and the prevention, monitoring, and identification of faults are of great significance. At present, the fault research on diesel engines still has some defects, such as only few types of faults diagnosis are identified, the accuracy of fault diagnosis is still low, and fault identification is located at a fixed speed. A novel fault detection and diagnostic method of diesel engine by combining rule-based algorithm and Bayesian networks (BNs) or Back Propagation neural networks (BPNNs) is proposed. The signals are processed by wavelet threshold denoising and ensemble empirical mode decomposition. The signal-sensitive feature values are extracted from the decomposed intrinsic mode function. Seven faults are roughly identified using rule-based algorithm and finely identified using BNs or BPNNs. Results show the proposed fault diagnosis method has a good diagnostic performance for a wide range of rotation speeds when the training data for BNs and BPNNs are from fixed speeds. In addition, the influences of the layers of decomposed signals, sensor noise and external excitation interference on the fault diagnostic performance are also researched.     

复杂电磁环境下的超声探伤研究

针对复杂电磁环境下传统超声波探头易受电磁波干扰的缺陷,构建基于布拉格光栅传感器的2种超声传感系统。介绍布拉格光栅的原理,利用宽带光源和可调激光系统进行超声探测,构建2种布拉格光栅传感系统,采用布拉格光栅超声传感系统进行伤情探伤,并进行实验验证对比。结果表明:具备可调激光光源布拉格光栅传感器的超声探测系统对超声波具有相当高的灵敏度,在复杂电磁环境下对结构复合材料的超声探伤中可以作为传统的压电传感器的替代品。     

核磁共振技术在生命科学领域的应用

从磁悬浮陀螺寻北仪的寻北原理出发,将地球自转角速度分解到陀螺坐标系上,分析了存在准直误差的情况下所引起的寻北误差,推导出了用于补偿运算的准直误差与寻北误差之间的关系表达式,避免了精确准直消耗时间造成总寻北时间延长的问题。实际应用结果表明:准直范围由3″扩大到1′,可缩短磁浮闭路时间约60 s,通过测量准直误差并补偿,仪器总寻北精度没有改变。