基于多源测量与属性混合信息的分类识别方法

充分利用多传感器系统提供的多源异类信息,将观测数据处于数据级的属性和处于特征级的属性混合作为描述目标的特征矢量;对特征矢量进行了主成分分析,在此基础上转换至三维直角坐标系寻找最优分类平面进行分类识别;采用"一对一"策略解决多类分类问题;通过仿真实验验证了该方法在加入不同百分比高斯白噪声环境下的有效性,并与BP神经网络识别方法在同等条件下作了对比实验,突出了论文所提方法正确识别率高、识别速度快和稳定性高的优越性。     

A secure and high-performance multi-controller architecture for software-defined networking

Controllers play a critical role in software-defined networking (SDN). However, existing single-controller SDN architectures are vulnerable to single-point failures, where a controller’s capacity can be saturated by flooded flow requests. In addition, due to the complicated interactions between applications and controllers, the flow setup latency is relatively large. To address the above security and performance issues of current SDN controllers, we propose distributed rule store (DRS), a new multi-controller architecture for SDNs. In DRS, the controller caches the flow rules calculated by applications, and distributes these rules to multiple controller instances. Each controller instance holds only a subset of all rules, and periodically checks the consistency of flow rules with each other. Requests from switches are distributed among multiple controllers, in order to mitigate controller capacity saturation attack. At the same time, when rules at one controller are maliciously modified, they can be detected and recovered in time. We implement DRS based on Floodlight and evaluate it with extensive emulation. The results show that DRS can effectively maintain a consistently distributed rule store, and at the same time can achieve a shorter flow setup time and a higher processing throughput, compared with ONOS and Floodlight.     

An efficient bi-objective optimization framework for statistical chip-level yield analysis under parameter variations

With shrinking technology, the increase in variability of process, voltage, and temperature (PVT) parameters significantly impacts the yield analysis and optimization for chip designs. Previous yield estimation algorithms have been limited to predicting either timing or power yield. However, neglecting the correlation between power and delay will result in significant yield loss. Most of these approaches also suffer from high computational complexity and long runtime. We suggest a novel bi-objective optimization framework based on Chebyshev affine arithmetic (CAA) and the adaptive weighted sum (AWS) method. Both power and timing yield are set as objective functions in this framework. The two objectives are optimized simultaneously to maintain the correlation between them. The proposed method first predicts the guaranteed probability bounds for leakage and delay distributions under the assumption of arbitrary correlations. Then a power-delay bi-objective optimization model is formulated by computation of cumulative distribution function (CDF) bounds. Finally, the AWS method is applied for power-delay optimization to generate a well-distributed set of Pareto-optimal solutions. Experimental results on ISCAS benchmark circuits show that the proposed bi-objective framework is capable of providing sufficient trade-off information between power and timing yield.     

南水北调中线工程桥墩壅水特性研究

南水北调中线总干渠沿线设有阻水的槽墩、桥墩1 145座,合理分析槽墩、桥墩的壅水大小,对于准确复核总干渠水面线、分析渠道输水能力具有十分重要的意义。本文利用Flow3D软件模拟了南水北调中线工程中常见的圆柱型桥墩的壅水特性,计算体型包括单排、双排和三排桥墩,桥墩的阻水比为5.0%~7.14%。分析表明,单排桥墩壅水的数值模拟结果与Yarnell修正公式计算结果相近;多排桥墩联合壅水值随桥墩排数的增加而增加。     

含植物河道水动力特性研究进展

水生植物群落是河流生态系统的重要组成部分,利用天然植被护坡固土、净化水质、改善河流生态环境已成为河流生态修复的重要措施。本文从水生植物影响下的河道水流阻力特性及水流结构两方面,总结了国内外对含植物河道水动力特性的研究进展,并对该领域的未来研究方向提出了展望。     

流域水环境数值模拟技术应用及研究展望

在气候变化与人类活动影响新形势下,流域水环境发生了很大变化。水环境数值模拟可以定量描述流域水环境演变过程,是水环境规划、管理与保护工作的重要研究手段。从地表水环境模型、地下水环境模型、流域非点源污染模型3方面,分类归纳了当前主要的水环境数值模拟技术;从流域水环境演变与调控、水利工程对流域水环境的影响研究、水污染防治工程设计、水资源保护规划与管理等方面,总结了流域水环境数值模拟技术的应用情况;最后分析了当前水环境模拟技术的不足,并对流域水环境数值模拟技术的发展趋势进行了探讨。     

基于状态指标的更新决策方法研究

针对设备在实际运行和执行任务时经常涉及到维修、更新报废等管理活动缺乏定量模型支撑的问题,提出了利用典型部件的预测寿命和非典型部件的历史寿命对设备系统级的健康状态进行综合评估的方法,建立了一种以状态指标为决策序列的动态规划更新决策方法;该方法能综合考虑维修费用和更新费用,确定最优更新决策,降低保障费用,有效地提高了设备的经济效益;最后经过案例分析证明了该方法的有效性,对于提高设备的保障能力和经济效益提供了理论支撑和方法指导.     

桌面云计算模式用于移动办公领域的安全管理研究

虚拟化、云计算以及移动互联网在改变IT服务交付和消费方式的同时,也在不断颠覆IT从业者的思维方式。随着云计算技术的发展,政务、业务网络通过互联网延伸已是大势所趋,面对当前的混合云热潮,移动办公需求是每一个信息技术管理部门必须面对并解决的课题。基于实际使用经验和理解,通过分析桌面云计算模式的优势及与传统计算模式的差异,探讨桌面云计算模式下的信息安全管理课题。