基于SSLVPN的数字校园网络应用研究

为了更好的解决校内电子资源远程访问和管理的问题,文章通过SSL VPN原理和关键技术的分析,结合南京财经大学校园网的实际应用方案阐述了SSL VPN在远程访问数据的优势。     

基于NT技术中链路时延推测算法的分析研究

在研究了当前时延推测算法的基础上,将高斯混合模型推广到有限混合模型,使得算法可以同时推测多条链路的时延分布,利用重要性抽样技术增大研究事件出现的概率,再进行抽样并对样本空间进行调整,保证了指标的无偏性和有效性,同时降低了计算的复杂度,因此此方法具有广泛的适用性。最后在NS2平台上仿真验证,说明该算法是可行的。     

Modeling and multiobjective optimization of traction performance for autonomous wheeled mobile robot in rough terrain

Application of terrain-vehicle mechanics for determination and prediction of mobility performance of autonomous wheeled mobile robot(AWMR) in rough terrain is a new research area currently receiving much attention for both terrestrial and planetary missions due to its significant role in design,evaluation,optimization,and motion control of AWMRs.In this paper,decoupled closed form terramechanics considering important wheel-terrain parameters is applied to model and predict traction.Numerical analysis of traction performance in terms of drawbar pull,tractive efficiency,and driving torque is carried out for wheels of different radii,widths,and lug heights,under different wheel slips.Effects of normal forces on wheels are analyzed.Results presented in figures are discussed and used to draw some conclusions.Furthermore,a multiobjective optimization(MOO) method for achieving optimal mobility is presented.The MOO problem is formulated based on five independent variables including wheel radius r,width b,lug height h,wheel slip s,and wheel rotation angle θ with three objectives to maximize drawbar pull and tractive efficiency while minimizing the dynamic traction ratio.Genetic algorithm in MATLAB is used to obtain optimized wheel design and traction control parameters such as drawbar pull,tractive efficiency,and dynamic traction ratio required for good mobility performance.Comparison of MOO results with experimental results shows a good agreement.A method to apply the MOO results for online traction and mobility prediction and control is discussed.     

基于GIS和物联网的多部门协同式餐厨垃圾管理

随着我国城市化进程的高速推进,大中城市人口密集,每天都产生大量的餐厨垃圾,如果置之不理,就会造成资源浪费,并且纵容不法分子利用餐厨垃圾再加工使其重新流向餐桌,危害食品卫生安全。文中给出了使用物联网、GIS和无线通信等先进技术手段来搭建和研发实时动态的餐厨垃圾管理平台,由政府各职能部门协同进行管理的方法。通过该管理平台,能够有效地控制和跟踪餐厨垃圾的运输过程,而涉及餐厨垃圾处理的餐饮部门、运输部门、回收部门,也可通过该系统平台进行监管,从而防止不法行为的发生。     

Imaging with low-voltage scanning transmission electron microscopy: a quantitative analysis

A dedicated specimen holder has been designed to perform low-voltage scanning transmission electron microscopy in dark field mode. Different test samples, namely InGaAs/GaAs quantum wells, InGaAs nanowires and thick InGaAs layers, have been analysed to test the reliability of the model based on the proportionality to the specimen mass-thickness, generally used for image intensity interpretation of scattering contrast processes. We found that size of the probe, absorption and channelling must be taken into account to give a quantitative interpretation of image intensity. We develop a simple procedure to evaluate the probe-size effect and to obtain a quantitative indication of the absorption coefficient. Possible artefacts induced by channelling are pointed out. With the developed procedure, the low voltage approach can be successfully applied for quantitative compositional analysis. The method is then applied to the estimation of the In content in the core of InGaAs/GaAs core-shell nanowires.     

某雷达航迹仿真系统设计和实现

本文主要介绍了一种雷达航迹仿真系统的设计和实现,并在此基础上提出了雷达航迹仿真的关键技术,在验证和测试雷达情报处理功能方面具有应用价值.     

轴对齐包围盒算法的研究

本文围绕如何提高虚拟环境中物体运动的真实性和实时性,对虚拟环境中的物体进行了预处理,并从相交测试复杂度、紧密性角度对几种常见的包围盒进行了比较,在分析轴对齐包围盒（AABB）树生成基础上,从存储空间的角度对AABB包围盒树的节点进行了存储优化和AABB包围盒树结构的优化,改进后显著提高了碰撞检测的速度,增强了系统的实时性.     

基于精确流量控制的局域网网关出口管理策略

局域网应用越来越广泛,鉴于网络宽带的有限性,提出了基于精确流量控制的局域网网关出口管理策略,网络出口管理的优化控制得以实现,有效改善了局域网络拥塞问题.     

Small‐signal and noise modeling of class of HEMTs using knowledge‐based artificial neural networks

In this article, the neural network approach is exploited for development of bias‐dependent small‐signal and noise models of a class of microwave field effect transistor (FETs) made in the same technology but differing in the gate width. The prior knowledge neural approach is applied. Introducing gate width at the input of proposed neural networks, as well as the S/noise parameters of a device that belongs to the same class as the modeled device representing the prior knowledge, leads to very accurate scattering and noise parameters' modeling, as exemplified by modeling of class of pseudomorphic high electron mobility transistor (pHEMT) devices. © 2012 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2013.