CDP技术在话音漫游清算容灾系统中的应用

随着话音漫游业务的快速发展,话音漫游清算涉及的领域不断扩大,在重大事故,自然灾害等突发事件发生时确保清算数据的可用性和业务连续性就显得尤为重要.针对话音漫游清算系统的容灾需求以及有待改进的问题,通过研究分析CDP(Continuous Data Protection)容灾技术,提出将CDP技术运用到话音漫游清算容灾系统的方法,设计并构建了一套具有持续数据保护功能和全面数据恢复能力的容灾系统.实践证明,该方法能够在各种灾难场景中有效地保障话音漫游清算系统的数据完整性和业务连续性.     

Establishing an objective basis for image compositing in satellite oceanography

This study strives to establish an objective basis for image compositing in satellite oceanography. Image compositing is a powerful technique for cloud filtering that often emphasizes cloud clearing at the expense of obtaining synoptic coverage. Although incomplete cloud removal in image compositing is readily apparent, the loss of synopticity, often, is not. Consequently, the primary goal of image compositing should be to obtain the greatest amount of cloud-free coverage or clarity in a period short enough that synopticity, to a significant degree, is preserved.To illustrate the process of image compositing and the problems associated with it, we selected a region off the coast of California and constructed two 16-day image composites, one, during the spring, and the second, during the summer of 2006, using Advanced Very High Resolution Radiometer (AVHRR) InfraRed (IR) satellite imagery. Based on the results of cloud clearing for these two 16-day sequences, rapid cloud clearing occurred up to day 4 or 5, followed by much slower cloud clearing out to day 16, suggesting an explicit basis for the growth in cloud clearing. By day 16, the cloud clearing had, in most cases, exceeded 95%. Based on these results, a shorter compositing period could have been employed without a significant loss in clarity.A method for establishing an objective basis for selecting the period for image compositing is illustrated using observed data. The loss in synopticity, which, in principle, could be estimated from pattern correlations between the images in the composite, was estimated from a separate time series of SST since the loss of synopticity, in our approach, is only a function of time. The autocorrelation function of the detrended residuals provided the decorrelation time scale and the basis for the decay process, which, together, define the loss of synopticity. The results show that (1) the loss of synopticity and the gain in clarity are inversely related, (2) an objective basis for selecting a compositing period corresponds to the day number where the decay and growth curves for synopticity and clarity intersect, and (3), in this case, the point of intersection occurred 3.2 days into the compositing period. By applying simple mathematics it was shown that the intersection time for the loss in synopticity and the growth in clarity is directly proportional to the initial conditions required to specify the clarity at the beginning of the compositing period, and inversely proportional to the sum of the rates of growth for clarity and the loss in synopticity. Finally, we consider these results to be preliminary in nature, and, as a result, hope that future work will bring forth significant improvements in the approach outlined in this study.     

基于XAUI协议的10 Gb/s光纤通信系统

为提高光纤通信系统的数据吞吐量,增加系统集成度,提出基于附加单元接口(XAUI)协议的10 Gb/s光纤通信系统的设计方法。采用Virtex-5 FPGA内置RocketI/O收发器的通道绑定技术实现用户逻辑至光模块之间的数据通路。利用FPGA及XPAK光模块使以往复杂、高成本的高速光纤通信系统得到简化。     

基于微分光流和粒子滤波的视频运动目标跟踪

针对传统跟踪方法中存在的背景遮挡问题,提出一种基于微分光流的粒子滤波跟踪方法。该方法建立一个用于描述目标的微分光流模型,该模型在每一帧的跟踪处理之前获得更新。使用光流相似函数计算目标与粒子所表示区域的相似度,通过粒子     

Computational Aspects of Clearing Continuous Call Double Auctions with Assignment Constraints and Indivisible Demand

We investigate the computational complexity of clearing markets in a continuous call double auction. In the simplest case, when any part of any bid can be matched with any part of any ask, the market can be cleared optimally in log-linear time. We present two generalizations, motivated by electronic marketplaces for the process industry, where: (a) there exist assignment constraints on which bids can be matched with which asks, and (b) where demand is indivisible. We show that clearing markets with assignment constraints can be solved efficiently using network flow algorithms. However clearing markets with indivisible demand, with or without assignment constraints, requires solving NP-hard optimization problems such as the generalized assignment problem, the multiple knapsack problem and the bin packing problem.     

电力市场日成交电价预测方法探讨

我国电力体制改革将竞争引入发电供应商之间。在“厂网分开、竞价上网”的电力市场中,发电厂面临如何确定报价,才能使发电厂获得最大利润的问题。而报价的一个重要指标就是预测电力市场日成交电价,所以电价预测对发电厂的报价决策具有重要意义。该文介绍了电力市场日成交电价两种主要预测方法：统计法和神经网络法;并通过分析证明结合两种方法的预测是适合电力市场日成交电价的计算和分析。预测模型对发电商的报价决策系统具有较高的参考价值。     

带可变事故切除时间的暂态稳定约束最优潮流计算

在暂态稳定约束最优潮流（OTS）研究的基础上,提出了电力系统事故切除时间为变量的暂态稳定约束最优潮流（OPF-TSCC）模型.根据约束转换方法,建立了OPF-TSCC对应的一类广义半无限优化（GSIP）;基于GSIP现有理论和算法,提出了求解GSIP的一类新算法.电力系统数值仿真结果验证了所提出的模型和算法的有效性.新模型还可用于求解系统故障的临界切除时间（CCT）.     

基于MSP430的光万用表设计与实现

针对国内市场上的光万用表多数与国外有较大的差距,或功耗过高或测量不够精确,而文献也多是研究独立的光功率计或红外光源系统的现状,设计了一款手持式光万用表系统。给出了关键模块的原理图、软件流程图以及数据处理算法,并对系统实现进行了较为详细的描述。该仪表以超低功耗微处理MSP430为控制核心,集成光功率计和红外光源模块,并具有USB通信接口。测试结果表明,其光功率计模块性能优异、功耗极低,其红外光源稳定,具有很高的使用价值。     

基于三值光学处理器的加法算法研究

加法运算是最基本的运算。随着运算数字长度的增加,级联加法器所产生的进位传播导致计算速度的严重下降,学者们提出多种多样的解决方法,其中使用光学方法解决加法进位问题因其并行性独具优势而受到肯定。文中对加法的实现方法进行了分析,并指出简单套用先行进位等算法思想对于三值光计算机不适合,探索适合三值光计算机的光学处理器的加法算法-MSD加法,结合处理器液晶阵列104以上的数据位数,找到更适合三值光计算机特点的加法算法。     

一种用于异常行为检测的运动特征描述子

目前,用于描述视频中人群的运动信息大多是基于光流的速度描述子。事实上,加速度蕴含丰富的运动信息,能够提供速度描述子在描述复杂运动模式时缺失的信息,以更好地表征复杂的运动模式。文中研究了一种运动特征描述子,使用受限玻尔兹曼机模型进行异常行为检测。首先,提取视频中的光流场信息,计算帧间加速度光流;然后,对一个时空块中的加速度信息进行直方图统计,将若干帧的所有时空块直方图特征进行拼接,从而获得加速度描述子;最后,在仅包含正常行为的训练集上建立受限玻尔兹曼机模型,在测试阶段根据测试视频重建特征与原始特征的误差大小进行异常检测。实验表明,所提出的加速度描述子结合速度描述子,在UMN数据集与UCF-Web数据集上,ROC曲线下的面积分别达到了0.984与0.958,相较于其他算法,所提方法取得了更高的异常行为检测准确率。     

考虑电能与备用联合出清的日前调度优化方法

为解决电力现货市场与辅助服务市场改革不断深入带来的日前调度计划编制模式转变问题,提出了一种考虑电能与备用辅助服务联合出清的日前调度优化方法。首先,剖析了电能与备用辅助服务之间的耦合关系,从机组运行特性和电网承载能力两个维度出发明确了电能与备用联合出清中需要考虑的运行约束项。接着,以综合购电成本最低为优化目标,全面考虑电网运行、电力平衡、机组运行等三方面约束条件,构建了电能与备用辅助服务联合出清下的日前调度优化模型。并根据模型特点,明确了求解方法。最后基于我国某省区电网实际数据构造的算例表明,该方法能够有效提升发电资源调用效率,避免由于备用均摊等方式造成的发电机组中标量超过系统承载能力或发电机组发电能力的问题。     

Computer Generated Holograms for Optical Neural Networks

While numerous artificial neural network (ANN) models have been electronically implemented and simulated by conventional computers, optical technology provides a far superior mechanism for the implementation of large-scale ANNs. The properties of light make it an ideal carrier of data signals. With optics, very large and high speed neural network architectures are possible. Because light is a predictable phenomenon, it can be described mathematically and its behavior can be simulated by conventional computers. A hologram is in essence a capture of the light field at a particular moment in time and space. Later, the hologram can be used to reconstruct the three dimensional light field carrying optical data. This makes a hologram an ideal medium for capturing, storing, and transmitting data in optical computers, such as optical neural networks (ONNs). Holograms can be created using conventional methods, but they can also be computer generated. In this paper, we will present an overview of optical neural networks, with emphasis on the holographic neural networks. We will take a look at the mathematical basis of holography in terms of the Fresnel Zone Plate and how it can be utilized in making computer generated holograms (CGHs). Finally, we will present various methods of CGH implementation in a two layer holographic ONN.     

FTTH资源管理的研究与实现

随着PON技术的不断完善发展,FTTH逐渐成为运营商的主推宽带用户接入方案。ONT的数据配置比较’繁琐,且由于PON接入网络的无源性特点,给分光器的管理带来了一定困难。通过ONT的营业系统预配置,预先定义用户归属关系,可以解决ONT的配置问题和分光器的资源管理问题。     

光纤分布式扰动传感器信号检测系统研究

设计了一种以FPGA作为数据处理核心,基于相位敏感光时域反射计(Φ-OTDR)的光纤分布式扰动传感器信号检测系统。该系统具有数据采集、处理、存储、通信以及液晶显示功能。扰动信号检测算法采用多周期等距累加相减法。通过阈值判定实现扰动信号的判别,并可以同时显示传感光纤长度范围内不同位置的扰动。实验证明,该系统内部数字处理部分可以实现信号检测算法以及扰动阈值判定功能。     

Neural network-based optical flow versus traditional optical flow techniques with thermal aerial imaging in real-world settings

The study explores the feasibility of optical flow-based neural network from real-world thermal aerial imagery. While traditional optical flow techniques have shown adequate performance, sparse techniques do not work well during cold-soaked low-contrast conditions, and dense algorithms are more accurate in low-contrast conditions but suffer from the aperture problem in some scenes. On the other hand, optical flow from convolutional neural networks has demonstrated good performance with strong generalization from several synthetic public data set benchmarks. Ground truth was generated from real-world thermal data estimated with traditional dense optical flow techniques. The state-of-the-art Recurrent All-Pairs Field Transform for the Optical Flow model was trained with both color synthetic data and the captured real-world thermal data across various thermal contrast conditions. The results showed strong performance of the deep-learning network against established sparse and dense optical flow techniques in various environments and weather conditions, at the cost of higher computational demand.     

光学合成孔径图像超分辨率重建技术研究

针对光学合成孔径固有的中低频损失而导致的成像模糊问题,提出一种改进的超分辨率生成对抗网络(SRGAN)进行图像复原研究;首先通过MATLAB构建光学合成孔径图像数据集,并对数据集进行数据增强处理,其次根据ASPP网络设计思想,构建多尺度SRGAN生成器的残差结构,最后与传统超分辨率重建算法进行复原效果对比;实验结果表明,该算法可加快模型收敛速度,提升模型获取图像细粒度特征的能力,对于光学合成孔径图像的复原效果更优。     

光程可调吸收气室气体传感器研究

光程可调吸收气室可满足光纤气体传感器不同探测灵敏度和量程的需求。介绍了吸收气室的基本结构,并利用TracePro软件对气室进行了光学仿真设计和分析,确定了多次反射池的光学参数。对气室的结构、防腐工艺、密封工艺及光程可调节进行了研究。通过调试和实验测量,结果表明：气室光程可在0.8～30 m范围调节,完全可应用于低浓度气体（对应长光程气室）和高浓度气体（对应短光程气室）的检测。     

OBS网络中基于缓存和分割的冲突解决方法研究

光突发交换网络被认为是一种新型的IPoverWDM光网络,其中突发包在核心路由器中发生的冲突问题是一个关键的研究课题。解决冲突的方法可以分为利用缓存和不利用缓存两大类。目前对这两种方法进行的单独研究很多,这就存在有很大的局限性,因为独立的研究并不能灵活适应网络环境的需求,这样就不能达到优化网络的目的。本文针对这样的局限性,首先列出了几种光缓存结构,而后以一种结构较优越的缓存结构和分割策略进行了综合性能比较,分析了两种策略各自的优势,得出的一些有用结论对于以后实际光突发交换网络的优化设计具有一定的理论指导意义。     

光电耦合器在干扰弹测速系统中的应用

对干扰弹炮口初速的精确测量是顺利进行试验的基础条件。提出了一种采用漫反射式光电耦合器测速的方法。该光电耦合器是集发射器和接收器于一体的传感器,当有被检测物体经过时,漫反射回来的光被探测器接收转换为电信号并采集到计算机进行数据处理。介绍了干扰弹测速系统的结构、工作原理与驱动电路,并测量了光电耦合器的响应速度,最后,利用该系统对干扰弹的速度进行了测试,给出了试验波形。试验证明:该方法具有体积小、电路简单、成本低、灵敏度高等优点。     

一种面向光收发器的ps级光脉冲产生器

由于高速光开关在光互连通信中越来越广泛的应用,光开关的开关速度直接影响了整个光链路的传输速率,因此对驱动光开关产生长周期窄脉冲光信号的驱动电路的性能及集成度有了更高要求。基于光电集成工艺和高速光脉冲队列技术的发展,提出了一种应用于光SerDes收发器的集成ps级窄脉冲光信号产生器。该产生器为CMOS电路产生脉宽精确可调的长周期窄脉冲,在SMIC 0.13μm CMOS工艺下可获得窄至25ps的脉冲输出,其电源电压范围宽达1.4V~2.5V,时钟频率也可由数kHz到4GHz,同时可移植到不同的CMOS工艺平台。