顺序输送粘度差对混油量影响分析

针对两种不同粘度的后行柴油分别与同一种前行汽油顺序输送时存在的混油问题,借助CFD模拟仿真软件,建立了三维流动传质耦合模型。模拟计算结果表明,前行油品与后行油品的粘度差对顺序输送时的沿程混油量有显著影响。由横向混油截面的变化情况来看,混油初期后行柴油以弓形前锋曲面嵌入到前行油品中,运行30s其前锋曲面逐渐变尖且以锥形曲面向前行油品逐渐延伸;从纵向混油截面的变化情况来看,截面柴油以楔形前锋曲面从管道下部嵌入前行油品中;管道侧面、顶面和底面边界层区域的混油量均随粘度差的增大而减小,且底面边界层区域的混油量最大。     

An FEC scheme combined with weighted scheduling to reduce multicast packet loss in IPTV over PON

Congestion is one of the most important challenges in optical networks. In a Passive Optical Network (PON), the Optical Line Terminal (OLT) is a bottleneck and congestion prone. In this paper, a framework is proposed with Forward Error Correction (FEC) at the IP layer combined with Weighted Round Robin (WRR) at the scheduling level to overcome packet-loss due to congestion in the OLT in order to achieve efficient video multicasting over PON. In the FEC scheme, Reed-Solomon (RS(n,k)) with erasure coding is used, where (n−k) erroneous symbols per n symbol blocks can be corrected. In our framework, an Internet Protocol TeleVision (IPTV) service provider uses the mentioned RS coding and generates redundant packets from regular IPTV packets in such a way that an Optical Network Unit (ONU) can recover lost packets from received packets, thus resulting in a better video quality. Simulation results show that using the proposed framework, an ONU can recover many lost packets and achieve better video quality under different traffic loads for its users. For instance, the proposed method can reduce packet loss rate by almost 55% and 10% under traffic load 0.9, respectively, compared with the Round Robin (RR) and WRR methods under symmetric traffic load. When High Receivers Queue (HRQ) traffic (i.e., traffic received by many users) is twice Low Receivers Queue (LRQ) traffic (i.e., traffic received by a small number of users), this reduction is almost 86% and 30% under traffic load 0.9. Finally, when LRQ traffic is twice HRQ traffic, the reduction in packet loss rate is almost 70% and 91% at traffic load 0.5.     

Time stepping in discontinuous Galerkin method

The time discretization in the Discontinuous Galerkin (DG) scheme has been traditionally based on the Total Variation Diminishing (TVD) second-order Runge-Kutta (RK2) scheme. Computational efficiency and accuracy with the Euler Forward (EF) and the TVD second-order RK2 time stepping schemes in the DG method are investigated in this work. Numerical tests are conducted with the scalar Burgers equation, 1-D and 2-D shallow water flow equations. The maximum Courant number or time step size required for stability for the EF scheme and RK2 scheme with different slope limiters are compared. Numerical results show that the slope limiters affect the stability requirement in the DG method. The RK2 scheme is generally more diffusive than the EF scheme, and the RK2 scheme allows larger time step sizes. The EF scheme is found to be more efficient and accurate than the RK2 scheme in the DG method in computation.     

A forward-secure e-mail protocol without certificated public keys

Forward secrecy in an e-mail system means that compromising of the long-term secret keys of the mail users and mail servers does not affect the confidentiality of the e-mail messages. Previous forward-secure e-mail protocols used the certified public keys of the users using PKI (Public Key Infrastructure). In this paper, we propose a password-based authenticated e-mail protocol providing forward secrecy. The proposed protocol does not require certified public keys and is sufficiently efficient to be executed on resource-restricted mobile devices.     

基于DSP和FPGA的信息化发射平台多协议网关设计

为实现信息化发射平台控制系统不同网段之间互联互通,实现了一种能够对以太网、CAN等不同协议数据进行解析、过滤及转发的多协议网关。该网关采用DSP+FPGA的控制器架构,在FPGA内部通过CAN IP核的方式实现了六路CAN控制器;FPGA内部还实现了一路Microblaze软核,软核上运行lwIP以太网协议栈,实现一路以太网控制器功能。DSP作为控制核心,调用FPGA实现的驱动函数实现以太网和CAN数据收发,并根据特定的转发策略对接收数据进行解析、过滤和转发。试验结果表明,该多协议网关单元具有通信接口种类多、数量多,数据转发实时性强、可靠性高,数据解析、转发规则可编程设定、灵活性高等特点,能够适应不同系统的应用需求。     

高性能服务器转发模块的设计方法

提出一种基于IOCP实现底层封装基础上的具有高性能的网络转发模块的设计方案。该方案基于Win32平台上并通过c语言开发实现。本文在传统线程池处理并发的基础上,采用多路并发,多线程技术,并通过了严格的压力和性能测试。本文同时提出关联容器映射的方法,保证了数据的准确转发。实验结果表明,该模块在保证准确转发交互的同时,能够支持海量并发连接,且具有较高的数据吞吐量,同时在实际项目应用中也取得了良好的表现。     

Personality and its effects on learning performance: Design guidelines for an adaptive e-learning system based on a user model

An increasingly widespread interest in developing fully adaptable e-learning systems (e.g., intelligent tutoring systems) has led to the development of a wide range of adaptive processes and techniques. In particular, advances in these systems are based on optimization for each user's learning style and characteristics, to enable a personalized learning experience. Current techniques are aimed at using a learner's personality traits and its effect on learning preferences to improve both the initial learning experience and the information retained (e.g., top-down or bottom-up learning organization). This study empirically tested the relationship between a learner's personality traits, analyzed the effects of these traits on learning preferences, and suggested design guidelines for adaptive learning systems. Two controlled experiments were carried out in a computer-based learning session. Our first experiment showed a significant difference in the learning performance of participants who were identified as introverts vs. those who were identified as being extroverts, according to the MBTI scale. As the distinction between extroverted personality types vs. introverted personality types showed the strongest correlation in terms of different learning styles, we used this criteria in our second experiment to determine whether design guidelines for appropriate content organization could reinforce the aforementioned correlation between personality type and learning experience.     

近景大视场角分区域标定方法研究

针对飞行试验测量视场大相机标定精度低的问题,提出一种高精度CCD相机分区域标定方法。该方法首先通过将标靶均匀布置在摄像机视场内,使得标靶尽可能均匀错落地充满整个视场范围,再结合人眼判读的方式求解靶标的像面位置,最终与全站仪三维坐标形成精确的空间标定点集。接着,将像平面按横向方向等间距分割成Ｎ个区域,并结合后方交会的方法分别对每个子区域进行相机参数的计算。实验结果表明：经过分区域标定,相机采集点的总误差比单区域标定法降低了4％(Ｎ＝3)。算法可实现指定区域的相机参数计算,基本满足中高等精度的工业测量要求。所本文研究可应用于位置相对固定不变的工业视觉测量,特别是大工件测量领域。     

Maximum principle for forward–backward SDEs with a general cost functional

In this study, we consider a stochastic optimal control problem whose state variables are described by the system of forward and backward stochastic differential equations with a general cost functional which relies on the global terminal condition. In the framework of Fréchet derivatives, we derive the corresponding maximum principle via constructing a series of adjoint equations which need to be solved step by step.     

基于改进的FAST R-CNN的前方车辆检测研究

目前,前方车辆检测的研究主要通过机器学习的方法,然而其难以解决遮挡和误检的问题。在这种背景下,使用深度学习的方法检测前方车辆更为有效。首先采用了选择性搜索方法获得样本图像的候选区域,然后使用改进的FAST R-CNN训练网络模型,检测道路前方车辆。已在KITTI车辆公共数据集上对该方法进行了测试,实验结果表明,所提方法的检测率高于CNN直接检测的结果,很大程度上解决了遮挡和误检的问题。而且,与先提取Harr-Like特征然后利用Adaptive Boosting分类器的算法相比,该方法在TSD-MAX交通场景数据库测试中实现了较高的性能。结果表明,该方法提高了车辆检测的准确性和鲁棒性。