“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。     

大学英语读写课堂教师提问的逻辑性调查分析

教师提问、学生回答是语言课堂中的一个逻辑过程。教师的提的问题和课堂模式具有逻辑艺术,与学生产生思维共振,教与学才能统一。通过对大学英语读、写、译课堂观摩调查结果的分析,提出重视课堂提问的逻辑性,让学习者开动脑筋把注意力从学什么转移到怎样学和怎样思考的问题上,从而提高语言学习者的学习能力、理解能力和表达能力。     

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。     

一种双U形缺陷地结构低通滤波器的设计

基于双U形缺陷地结构设计了一种低通滤波器。首先利用三维电磁场仿真软件分析了双U形DGS结构的S参数频响特性,然后利用该DGS结构加工制作了DGS结构低通滤波器,实验室测得该滤波器3 dB截止频率为3．26 GHz,通带范围内波纹最大是0．4 dB。插入损耗大于20 dB的阻带宽度为5．2 GHz。