CE/SE方法在点火管一维两相流数值计算中的应用

介绍了CE／SE方法。该方法不同于以往的一些计算格式，在计算中它把时间和空间同等对待，具有格式构造简单、计算方便和对激波间断分辨率高等优点。运用适合点火管一维两相流控制方程的CE／SE方法来计算点火管内的一维两相流流动，源项采用四阶Runge-Kutta方法进行处理。数值计算的结果与实验数据的比较表明，CE／SE方法能对两相流进行有效的数值模拟。     

基于电磁反演计算的超宽带无源电磁成像技术

电磁成像是由物体产生的电磁波动,在观测处形成的反映空间和物体电磁特性的映像。基于电磁反演计算的超宽带无源电磁成像采用超宽带被动式天线阵面获取空间中的电磁信息,利用信息处理算法完成电磁辐射源特征的提取,基于电磁反演计算方法完成对电磁场空间分布的计算,将电磁场和目标三维态势绘制显示出来,能直观、全面地呈现出空间中的电磁分布。     

An improved quantum-inspired evolutionary algorithm for coding resource optimization based network coding multicast scheme

This paper investigates how to minimize the required coding resources in network-coding-based multicast scenarios. An evolutionary algorithm (MEQEA) is proposed to address the above problem. Based on quantum-inspired evolutionary algorithm (QEA), MEQEA introduces multi-granularity evolution mechanism which allows different chromosomes, at each generation, to have different rotation angle step values for update. In virtue of this mechanism, MEQEA significantly improves its capability of exploration and exploitation, since its optimization performance is no longer overly dependant upon the single rotation angle step scheme shared by all chromosomes. MEQEA also presents an adaptive quantum mutation operation which is able to prevent local search efficiently. Simulations are carried out over a number of network topologies. The results show that MEQEA outperforms other heuristic algorithms and is characterized by high success ratio, fast convergence, and excellent global-search capability.     

基于Ansys Workbench激光焊接热固耦合数值计算与实验研究

以车用镀锌钢和6016铝合金为研究对象,利用Ansys Workbench14.5仿真平台对焊接过程进行热固耦合数值求解,进而得到给定工艺参数条件下的温度场和应力场分布。热电偶同步测温实验可以保证温度场计算的准确性,通过热应力耦合分析可以得到应力场。应力场分布表明,应力主要集中在焊缝区域,实验结果恰好证实了这一点。观察焊缝区域的微观组织发现,该区域出现许多细小的裂纹,说明了热应力集中是出现微细裂纹的主要原因。文章根据温度场和应力场的分布对工艺参数进行分析,以为实际的工程应用提供参考。     

布尔电路上保护隐私集合并集运算的研究与实现

隐私保护技术是当前信息安全领域的研究热点。然而,现阶段集合并集运算中的隐私保护技术侧重理论研究,在实验模型的开发上较为欠缺。针对该问题,该文首先设计了保护隐私的集合合并运算电路、去重电路和混淆电路,并应用YAO氏通用混淆电路估值技术提出了一种布尔电路上保护隐私的集合并集协议。然后,该文使用模拟器视图仿真法证明了协议的安全性。最后,基于MightBeEvil中的YAO氏混淆电路估值框架,开发了该文理论方案对应的实验模型。实验结果表明,在安全计算稀疏集合的并集时,所提算法效率优于当前布尔电路上的其他算法。     

爆轰驱动动力学计算程序的并行计算研究

本文针对自行研制的二维爆轰驱动动力学计算程序LSFC2D的结构化网格特点,采用递归对分的区域剖分技术以及全局重分和局部微调相结合的动态负载平衡技术,实现了欧拉网格间的物理量传递,使得程序能够在高性能并行计算机上运行,解决了计算物理模型的计算规模和计算时间问题.在计算集群上进行了并行程序的正确性验证和并行性能测试,结果表明,150万网格量时并行计算效率达到了50%以上.     

A New Design Concept for High-Performance Fading Channel Simulators Using Set Partitioning

In this paper, we introduce a new technique for the design of high-performance Rayleigh fading channel simulators. The proposed design method uses set partitioning – a technique, which plays a key role in the design of trellis-coded modulation schemes. We show how set partitioning can be used to design multiple uncorrelated fading waveforms enabling the simulation of Rayleigh fading channels. For the important case of isotropic scattering, we show that the sample average of the generated waveforms results in a deterministic process, the autocorrelation function (ACF) of which tends to the zeroth-order Bessel function of the first kind as the number of sample functions increases. The proposed procedure is completely deterministic. The comparison with a stochastic procedure using Monte Carlo techniques will be made. A study of the performance shows clearly that the new technique using set partitioning outperforms by far existing Monte Carlo methods.     

白酒勾调中的几个问题

对勾兑调味时计量、酒用香料以及贮存罐提出一些注意事项,并提出解决措施。     

水轮机转轮前来流的计算

本文介绍一种采用S1,S2两类流面迭代计算确定转轮进口前轴面速度及环量分布的方法. 与实测结果相比，此法计算结果比采用传统设计方法计算所得结果更为合理，它有助于改进水轮机转轮的水力设计。     

Information mining and similarity computation for semi- / un-structured sentences from the social data

In recent years, with the development of the social Internet of Things (IoT), all kinds of data accumulated on the network. These data, which contain a lot of social information and opinions. However, these data are rarely fully analyzed, which is a major obstacle to the intelligent development of the social IoT. In this paper, we propose a sentence similarity analysis model to analyze the similarity in people’s opinions on hot topics in social media and news pages. Most of these data are unstructured or semi-structured sentences, so the accuracy of sentence similarity analysis largely determines the model’s performance. For the purpose of improving accuracy, we propose a novel method of sentence similarity computation to extract the syntactic and semantic information of the semi-structured and unstructured sentences. We mainly consider the subjects, predicates and objects of sentence pairs and use Stanford Parser to classify the dependency relation triples to calculate the syntactic and semantic similarity between two sentences. Finally, we verify the performance of the model with the Microsoft Research Paraphrase Corpus (MRPC), which consists of 4076 pairs of training sentences and 1725 pairs of test sentences, and most of the data came from the news of social data. Extensive simulations demonstrate that our method outperforms other state-of-the-art methods regarding the correlation coefficient and the mean deviation.