核心网中的光分组交换

光分组交换（OPS）是光交换技术的长远发展目标，其研究工作在上世纪90年代取得了很大进步。本文主要介绍OPS的一些基本概念和相关使能技术的进展情况，最后对OPS的前景做一些分析。     

MAX2206～MAX2208功率检测器在CDMA中的应用

本介绍了MAX2206～MAX2208功率检测器的应用和选择方法，以及分析了其功率检测器输出特性。     

激光加中药治疗小儿慢性扁桃体炎临床疗效观察

临床观察激光穴位照射加中药治疗小儿慢性扁桃体炎40例，发现在改善临床症症状及体征方面优于西药阿莫西林对照组，因此有效率明显高于西药组，说明He-Ne激光与中药治疗慢性扁桃体炎为一种有效的治疗方法。     

介观压阻效应

为了突破传统机电转换 ,如压电、压阻及压容等效应的宏观物理局限 ,着手研究介观压阻效应。本文提出 ,通过四个物理过程来实现介观压阻效应。原理上讲 ,在力学信号作用下 ,纳米结构中的应力分布会发生变化 ;应力变化可引起内建电场的产生 ;内建电场将导致纳米结构中量子能态发生改变 ;量子能态改变会引起共振隧穿电流的变化。简述了国内外在上述四个过程方面所做的工作     

激光处理对油松种子老化的修复效应

用He-Ne激光处理贮存五年的油松陈种子 ,用无离子水浸种 30h后析出液的电导率比CK组低 38% ,其发芽率、活力指数最高可达CK组的 14 6 %和 16 9%。试验结果表明 ,适量的激光处理对油松陈种子的老化有修复效应。     

Multi-stratum resources resilience in software defined data center interconnection based on IP over elastic optical networks

IP over elastic optical network is a very promising networking architecture to interconnect data centers. It can enable efficient resource utilization and support heterogeneous bandwidth demands in cost-effective, highly available, and energy-effective manner. In case of aggregation elastic optical network node failure, to ensure a high-level quality of service for user request after the failure becomes a research focus. In this paper, we present a novel multi-stratum resources resilience (MSRR) architecture for the data center services in software defined data center interconnection based on IP over elastic optical networks. The MSRR can enable joint optimization of IP network, elastic optical network, and application stratum resources, and enhance the service resilience and the data center responsiveness to the dynamic end-to-end service demands. Additionally, a service-aware resource collaborative resilience strategy for MSRR is introduced based on the proposed architecture, which can provide the restoration using the multiple stratums resources in case of failure. The overall feasibility and efficiency of the proposed architecture are experimentally verified on our testbed. Moreover, the network performances are quantitatively evaluated through the simulation under heavy traffic load scenario in terms of path blocking probability, resource occupation rate, and path resilience latency.     

New SAR image interpretation method of aircraft based on joint time-frequency analysis

With the continuous improvement of Synthetic Aperture Radar （SAR） resolution,interpreting the small targets like aircraft in SAR images becomes possible and turn out to be a hot spot in SAR application research.However,due to the complexity of SAR imaging mechanism,interpreting targets in SAR images is a tough problem.This paper presents a new aircraft interpretation method based on the joint time-frequency analysis and multi-dimensional contrasting of basic structures.Moreover,SAR data acquisition experiment is designed for interpreting the aircraft.Analyzing the experiment data with our method,the result shows that the proposed method largely makes use of the SAR data information.The reasonable results can provide some auxiliary support for the SAR images manual interpretation.     

Joint evolutionary spectrum and autoregressive‐based approach to modeling non‐stationary flat fading channels

Modeling of wireless channels, especially non‐stationary fading channels, is important for design and performance analysis of wireless communication systems. Recently, we proposed a new approach to modeling non‐stationary fading channels, based on the theory of evolutionary spectrum (ES). In this paper, we develop a time‐varying autoregressive (AR) model for a non‐stationary flat fading channel; specifically, we develop a method to determine the time‐varying coefficients of the AR channel model, given the ES of a non‐stationary process. Furthermore, with the ES theory, we develop a trace‐driven time‐varying AR channel simulator to generate a non‐stationary flat fading process. Simulation results show that the ES of the channel gain process produced by our joint ES‐and‐AR‐based channel model agrees well with the user‐specified ES, indicating the accuracy of our joint ES‐and‐AR‐based channel model. Copyright © 2012 John Wiley & Sons, Ltd.     

基于径向基神经网络的需求侧响应用户基线负荷计算方法

用户基线负荷是需求侧响应事件中用户响应性能的评估基础。用户基线负荷计算方法应当满足实时监测用户响应性能的要求。本文提出一种基于径向基人工神经网络的用户基线负荷计算方法。该方法考虑非工作日和可能的非正常用电日的影响,选择工作日中的典型日和事件发生前用户的用电情况构成模型的输入向量,训练神经网络。用训练完成的神经网络对假设的系统紧急情况发生时段的负荷进行预测,得到用户基线负荷曲线。实践表明,所提出模型具有一定的预测精度,满足实时性要求。     

基于状态评估的相控阵雷达T/R组件维修策略研究

针对大型相控阵雷达T/R组件数量庞大、故障频发,且故障类型与多种检测参数有关的特点,提出了一种基于状态评估的T/R组件维修策略。根据T/R组件各测试数据之间的关联规则,构建了T/R组件的综合状态量和单项状态量集;针对常权重系数不能准确反映T/R组件真实工作状态的问题,引入均衡函数,并计算出了各综合状态量的变权重系数,建立了一种较为准确、客观的大型相控阵雷达T/R组件状态评估方法;根据相控阵雷达的参数指标确定了T/R组件的维修阈值,最终对机内自检检测的故障T/R组件进行状态评估,并对评分低于60分的T/R组件进行换件维修。实例计算结果表明,该评估方法和维修策略具有较高的可行性,能够充分发挥T/R组件的剩余寿命价值,对提高装备的保障效能具有重要意义。