弹道中段群目标平动补偿与分离方法

弹道微动群目标时频图是多目标多散射点微多普勒的叠加,以往针对单目标的补偿与分离方法不再适用。针对这一问题,该文首先分析了群目标及诱饵的微多普勒形式;利用弹道中段目标运动平稳,短时观测加速度近似为常数的特性,采用Radon变换检测微多普勒曲线的倾斜程度,用最小熵准则和高斯函数拟合的方法估计平动参数,进而完成平动补偿;对补偿后的群目标时频图利用Viterbi算法提取各条微多普勒曲线,依据同一目标各散射点微多普勒的周期相关性,完成群目标分离;最后仿真验证了以上方法的有效性。     

翻译转换理论在石油化工英语翻译中的应用

对石油化工文本的英译汉研究,有利于将国外最新技术成果带回国内,以供国内学者学习与借鉴。基于卡特福德的翻译转换理论,通过典型案例研究,提出适合该类文本的翻译方法,以期为从事该类的译者提供借鉴,提高该类文本翻译准确性,并为技术交流提供语言服务。     

丝绸出口商品广告的英译及其它

本文简明地介绍了丝绸出口商品广告的英译,其中包括商品品名、商标及商品商情材料文字等三部份。作者既从理论上加以评述与分析,同时列举了大量实例,可供读者参考。     

Why not one big database? Principles for data ownership

This research concerns incentive principles which drive information sharing and affect database value. Many real world centralization and standardization efforts have failed, typically because departments lacked incentives or needed greater local autonomy. While intangible factors such as “ownership” have been described as the key to providing incentives, these soft issues have largely eluded formal characterization. Using an incomplete contracts approach from economics, we model the costs and benefits of restructuring organizational control, including critical intangible factors, by explicitly considering the role of data “ownership”. There are two principal contributions from the approach taken here. First, it defines mathematically precise terms for analysing the incentive costs and benefits of changing control. Second, this theoretical framework leads to the development of a concrete model and seven normative principles for improved database management. These principles may be instrumental to designers in a variety of applications such as the decision to decentralize or to outsource information technology and they can be useful in determining the value of standards and translators. Applications of the proposed theory are also illustrated through case histories.     

智能问诊中基于深度神经网络的反问生成方法

在智能问诊中,为了让医生快速提出合理的反问以提高医患对话效率,提出了基于深度神经网络的反问生成方法。首先获取大量医患对话文本并进行标注;然后使用文本循环神经网络（TextRNN）、文本卷积神经网络（TextCNN）二种分类模型分别对医生的陈述进行分类;再利用双向文本循环神经网络（TextRNN-B）、双向变形编码器（BERT）分类模型进行问题触发;设计六种不同的问答选取方式来模拟医疗咨询领域情景,采用开源神经机器翻译（OpenNMT）模型进行反问生成;最后对已生成的反问进行综合评估。实验结果表明,使用TextRNN进行分类优于TextCNN,利用BERT模型进行问题触发优于TextRNN-B,采用OpenNMT模型在Window-top方式下实现反问生成时,使用双语评估替补（BLEU）和困惑度（PPL）指标进行评价的结果最好。所提方法验证了深度神经网络技术在反问生成中的有效性,可以有效解决智能问诊中医生反问生成的问题。     

适用于NAT环境的隐蔽通道构建方法

针对存在NAT（Network Address Translation,网络地址转换）情况下信息传输行为和内容的强隐蔽需求,提出了一种适用于NAT环境的隐蔽通道构建方法。该方法首先将待发送信息进行编码,核心在于利用传输层UDP数据包源端口号的序列变换实现隐蔽数据通信。该隐蔽通道能够有效适用于NAT环境,实现由内网地址向公网地址隐蔽的传递信息。在不同的NAT环境下对该方法进行了真实实验,验证了该方法在隐蔽传输方面的可行性,并对其传输速率、隐蔽性和鲁棒性进行了分析,实验结果表明该隐蔽信道在网络条件良好的情况下,能够达到2 kbit/s的传输速度。     

Internet Jokes: The Secret Agents of Globalization?

In this article, we use the somewhat unusual lens of joke translation to examine the process of "user‐generated globalization" – cross‐national diffusion of content by Internet users. We tracked the translations of 100 popular jokes in English into 9 languages and analyzed them quantitatively and qualitatively. Our findings indicate that (1) web‐based diffusion of translated jokes is common but varies greatly, both between languages and between jokes; (2) "global hits" differ from "translation‐resistant" jokes in their themes and incorporation of American markers; and (3) translated joke versions tend to include only minor cultural alternations (such as name shifting), thereby preserving the original messages. Overall, these findings suggest that Internet jokes serve as powerful (albeit often invisible) agents of globalization and Americanization.     

大面积拼接光栅的误差理论研究

基于标量衍射理论,建立了分析光栅拼接误差的理论模型。计算了拼接过程中的垂直角偏、母线偏转两种旋转误差对光栅远场的影响,得到了解析表达式。数值分析了旋转误差及旋转误差与平移误差同时存在时的远场分布,结果表明不同误差存在时远场分布不同,旋转误差对远场分布影响较大,母线偏转与平移误差之间存在一定的补偿性,若使光栅达到良好拼接,旋转误差必须控制在微弧度级以下。     

萎于连终跟踪的源地址转换技术研究与应用

面对日益严重的公用IP地址短缺问题,本文分析了共享静态IP上网和共享动态IP上网两种方式,并且针对两种共享IP上网各自所拥有的特点,研究了Linux下两种源地址转换技术,并且配合连线跟踪机制,设计了两种源地址转换方案。     

翻译目的论对英汉翻译教学的启示

本文基于翻译目的论,旨在理论联系实践,浅析目的论对英汉翻译教学的启示。