A Secure Distributed Authentication Scheme Based on CRT-VSS and Trusted Computing in MANET

With the rapid development of Mobile ad hoc network （MANET）, secure and practical authentica- tion is becoming increasingly important. There still ex- ist several unsolved problems. It may suffer from cheat- ing problems and Denial of services （DOS） attacks to- wards authentication service. Most existing schemes do not have satisfactory efficiency due to the exponential arithmetic complexity of Shamir＇s scheme. We explore the property of Verifiable secret sharing （VSS） schemes with Chinese remainder theorem （CRT）, then propose a se- cret key distributed storage scheme based on CRT-VSS and trusted computing techniques. We discuss the homo- morphism property of CRT-VSS and design a secure dis- tributed Elliptic curve-digital signature standard （ECC- DSS） authentication scheme. We provide formal guaran- tees towards the scheme proposed in this paper.     

自组网路由协议综述

自组网路由协议用于监控网络拓扑结构变化,交换路由信息,定位目的节点位置,产生、维护和选择路由,并根据选择的路由转发数据。本文综述了自组网路由协议研究方面的一些最新工作,描述了设计自组网路由协议所面临的问题,并着重对该研究开展以来所提出的各种主要协议进行了对比、分析和分类阐述,为进一步的研究提出了新的课题。     

Functional Materials for Memristor-Based Reservoir Computing: Dynamics and Applications

The booming development of artificial intelligence (AI) requires faster physical processing units as well as more efficient algorithms. Recently, reservoir computing (RC) has emerged as an alternative brain-inspired framework for fast learning with low training cost, since only the weights associated with the output layers should be trained. Physical RC becomes one of the leading paradigms for computation using high-dimensional, nonlinear, dynamic substrates. Among them, memristor appears to be a simple, adaptable, and efficient framework for constructing physical RC since they exhibit nonlinear features and memory behavior, while memristor-implemented artificial neural networks display increasing popularity towards neuromorphic computing. In this review, the memristor-implemented RC systems from the following aspects: architectures, materials, and applications are summarized. It starts with an introduction to the RC structures that can be simulated with memristor blocks. Specific interest then focuses on the dynamic memory behaviors of memristors based on various material systems, optimizing the understanding of the relationship between the relaxation behaviors and materials, which provides guidance and references for building RC systems coped with on-demand application scenarios. Furthermore, recent advances in the application of memristor-based physical RC systems are surveyed. In the end, the further prospects of memristor-implemented RC system in a material view are envisaged.     

双模制导航弹静稳定性数值分析

采用二阶Roe格式求解三维N-S方程,根据航弹雷诺数较高、计算网格不规则的特点,选用Spalart-Allmaras代数模型。首先,对卫星制导航弹绕流流场进行大量数值模拟,与风洞吹风试验数据对比,验证了数值方法的有效性。在此基础上对双模制导航弹在不同的攻角和不同来流速度以及不同舵偏角下的绕流流动进行数值模拟,对航弹的升阻特性、纵向静稳定性进行了详细分析,获取的气动参数分布规律对此类双模制导航弹气动布局设计具有一定的参考价值。     

云的红外图像生成研究

红外成像仿真的关键环节在于红外图像的生成,云的红外图像生成是重要的研究内容,具有重大的军事意义。基于分形技术提出了云的红外图像生成的技术方法,综合考虑云红外辐射的各个因素,建立了较为完善的云的红外辐射模型,基于光学厚度计算出云的辐射亮度。建立分形高度到云光学厚度、云的辐射亮度到图像灰度的两个映射,利用分形技术实现云红外图像生成。经过与实测数据和实拍图像比较,云的红外图像生成方法可行。     

IPC-Net: Incomplete point cloud classification network based on data augmentation and similarity measurement

Existing point cloud classification researches are usually conducted on datasets with complete structure and clear semantics. However, in real point cloud scenes, the occlusion and truncation may destroy the completeness of objects affecting the classification performance. To solve this problem, we propose an incomplete point cloud classification network (IPC-Net) with data augmentation and similarity measurement. The proposed network learns the feature representation of incomplete point clouds and the semantic differences compared to the complete ones for classification. Specifically, IPC-Net adopts a random erasing-based data augmentation to deal with incomplete point clouds. IPC-Net also introduces an auxiliary loss function weighted by attention scores to measure the similarity between the incomplete and the complete point clouds. Extensive experiments verify that IPC-Net has the ability to classify incomplete point clouds and significantly improves the robustness of point cloud classification under different completeness.     

多媒体教学资源云共享平台的构建研究

随着云计算技术的发展,多媒体教学资源的云共享平台的建设引起了人们的高度重视。将多媒体教学资源与云平台建设结合起来,可以有效的解决在多媒体教学资源在网络学习平台建设中存在的种种问题,提高多媒体教学资源的利用率。本文主要研究,多媒体教学资源的特点,多媒体教学资源网络平台建设中存在的问题,云计算和云共享理论、多媒体教学资源云共享平台的构建。     

基于改进人口模型的微博话题趋势预测

趋势预测问题是当前社会计算中的研究热点,但微博平台的话题趋势预测还处在探索阶段。在分析、抽取和定义事件趋势的影响因素的基础上,改进了人口模型使其适用于微博趋势预测,然后将改进的人口模型映射在神经网络上,并利用遗传优化的神经网络对事件的趋势进行预测。实验证明,该方法对于预测网络中长期酝酿的事件发展趋势效果明显,能够有效地预测事件的爆发点和发帖量,而且适用于小样本预测问题。     

运营商IT支撑系统“去IOE”思路探讨

结合移动互联网时代电信运营商发展流量经营的背景,从业务驱动的角度出发,提出了运营商IT支撑系统“去IOE”的初步思路,即采用新型互联网化系统架构,在建立云平台与大数据平台的基础上,利用核心系统轻量化、分布式重构等技术手段,逐步摆脱“IOE”的束缚。     

CORBA在网络管理中的研究与应用

CORBA(Common Object Request Broker Architecture)由于其分布式和面向对象的特点以及集成异构网络的优点,为网络管理提供了一个良好的思路。如果将CORBA应用到网络管理领域,则可以使网络管理系统同样具有CORBA的诸多优势,同时,还可以利用已经实现的CORBA通用服务和CORBA工具,使网络管理系统更能适应未来发展的需要。首先介绍了CORBA的技术特点以及其应用于网络管理的优势,并在分析传统网管缺点的基础上提出了一种新的基于COR-BA的网管框架,并给出了具体实现。