“实录”与“虚构”——试论唐叙事诗的叙事手法

唐叙事诗是我国文人叙事诗发展的一个高峰,其虚实相生的叙事手法值得探究。文章从传统诗学和叙事学角度对其进行分析。     

Lattice-based key exchange on small integer solution problem

In this paper, we propose a new hard problem, called bilateral inhomogeneous small integer solution （Bi-ISIS）, which can be seen as an extension of the small integer solution problem on lattices. The main idea is that, instead of choosing a rectangle matrix, we choose a square matrix with small rank to generate Bi-ISIS problem without affecting the hardness of the underlying SIS problem. Based on this new problem, we present two new hardness problems： computational Bi-ISIS and decisional problems. As a direct application of these problems, we construct a new lattice-based key exchange （KE） protocol, which is analogous to the classic Diffie- Hellman KE protocol. We prove the security of this protocol and show that it provides better security in case of worst-case hardness of lattice problems, relatively efficient implementations, and great simplicity.     

Derivation and analysis of a filtered backprojection algorithm for cone beam projection data

The authors address the problem of three-dimensional image reconstruction from cone beam projections. Modifying a result due to A.A. Kirillov (Soviet Math. Dokl., vol. 2, p.268-9, 1961), the authors derive an inversion formula for the case where the cone vertices form an unbounded curve. For the special case in which the cone vertices form a circle, an approximate reconstruction formula is developed and shown to be essentially equivalent to the practical cone-beam algorithm of L.A. Feldkamp et al. (1984). For this approximate inverse, the authors derive the resulting spatially varying point spread function, examine the effect of bandlimiting due to sampling, and compare the resulting image quality as a function of the radius of the circle formed by the cone vertices.     

Fast‐moving coin recognition using deep learning

Multimedia Tools and Applications - Deep learning has made essential contributions to the development of visual object detection and recognition. Identifying fast-moving objects from the viewpoint...     

Image super-resolution using supervised multi-scale feature extraction network

Multimedia Tools and Applications - Image super-resolution using deep convolutional networks have recently achieved great successes. However, previous studies have failed to consider the spatial...     

基于粒子群优化BP神经网络的超声波缺陷位置预测

海洋设备的无损检测对于保障设备安全使用至关重要,由于设备所处的海洋环境特殊,要实现对海洋设备缺陷位置的准确估计难度较大.论文提出了一种基于粒子群优化BP神经网络(PSO-BP)预测设备缺陷位置的方法.通过模拟了海洋检测环境,用钢板作为实验对象,用超声波探伤仪对缺陷钢板进行了数据采集,获取了水下钢板的实时数据.通过粒子群算法对BP网络进行优化后对数据进行分析,对比缺陷出现的实际位置和预测位置,证明了粒子群优化的BP神经网络对于超声波检测的缺陷出现位置具有较好的预测效果.     

针对网络不良信息的字词过滤系统设计

复杂网络环境中的不良信息处理技术需要不断更新改进。针对大量不良信息难以及时准确予以过滤净化的问题,重新设计一套字词过滤系统。详细介绍该系统中后台数据库维护、随机数据抽取、信息处理、模式匹配、审核过滤等模块的功能,并给出程序实现流程。     

破乳剂与原油管道混合流动的数值模拟

原油开采过程中,原油遇水能够形成比较稳定的乳化液,添加破乳剂是快速高效脱去原油中水的最有效的方法。对破乳剂与原油两相混合的流动形态进行了数值模拟,得出破乳剂在不同速度、不同入口角度下加入原油管道后两相流动的速度分布图和浓度分布图。经过对比发现,当药剂入口角度为0°,药剂流入速度越大,越有利于破乳剂的扩散,破乳剂和原油的混合效果最好,就更有利于原油的脱水。     

Differences in electrochemical corrosion behaviours between selective laser melted and wrought Ti6Al4V alloys in acid fluoride-containing artificial saliva

Journal of Applied Electrochemistry - In this work, the electrochemical corrosion behaviours of selective laser melted (SLMed) and wrought Ti6Al4V alloys in acid fluoride-containing artificial...