井下套管参数检测

研究了利用超声固井质量检测仪所采集的井壁信号数据进行套管参数（包括套管内径、椭圆度、厚度及套管接箍位置等）检测的原理及方法，可以图像的形式直观显示．理论研究和实际测井资料处理效果表明该方法是有效的，从而能充分发挥该仪器的多种功能，大大降低生产测井成本．     

Effect of Al<Subscript>2</Subscript>O<Subscript>3sf</Subscript> addition on the friction and wear properties of (SiC<Subscript>p</Subscript>+Al<Subscript>2</Subscript>O<Subscript>3sf</Subscript>)/Al2024 composites fabricated by pressure infiltration

Aluminum (Al) 2024 matrix composites reinforced with alumina short fibers (Al₂O_3sf) and silicon carbide particles (SiC_p) as wear-resistant materials were prepared by pressure infiltration in this study. Further, the effect of Al₂O_3sf on the friction and wear properties of the as-synthesized composites was systematically investigated, and the relationship between volume fraction and wear mechanism was discussed. The results showed that the addition of Al₂O_3sf, characterized by the ratio of Al₂O_3sf to SiC_p, significantly affected the properties of the composites and resulted in changes in wear mechanisms. When the volume ratio of Al₂O_3sf to SiC_p was increased from 0 to 1, the rate of wear mass loss (K_m) and coefficients of friction (COFs) of the composites decreased, and the wear mechanisms were abrasive wear and furrow wear. When the volume ratio was increased from 1 to 3, the COF decreased continuously; however, the K_m increased rapidly and the wear mechanism became adhesive wear.     

一种光伏阵列实时状态监测与故障定位系统

开发一种光伏阵列状态监测和故障定位系统,该系统将连续采集、 间歇采集、 自动定时采集、 故障检测定位等功能集成到统一的Matlab平台. 提出一种“阈值法－Hampel辨识法”相结合的光伏阵列离群值检测算法,该算法通过比较不同光伏组串瞬时电流进行异常检测实现故障定位. 基于实验室光伏并网发电平台上的故障模拟,重点研究了线线故障和失配故障条件下的故障检测与定位. 实验结果表明：该系统能够自动定时采集光伏电气特性数据并快速、 准确地判断是否发生故障及实现故障组串定位,具有良好的应用前景.     

Joint frequency offset tracking and PAPR reduction algorithm in OFDM systems

This paper presents an algorithm that aims to reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) communication systems while maintaining frequency tracking. The algorithm achieves PAPR reduction by applying the complex conjugates of the data symbol obtained from the frequency domain to cancel the phase of the data symbol. A likelihood estimator is used to obtain the sub-carrier phase error due to the residual carrier frequency offset (RCFO) using the same complex conjugates as a pilot signal. Furthermore, a joint time and frequency domain multicarrier phase locked loop (MPLL) is developed to compensate additional frequency offset. Simulation results show that this algorithm is capable of reducing PAPR without impacting the frequency tracking performance.     

快速冷凝Al＿（47）Cu＿（25）Fe＿8Mg＿（20）合金粉末的TEM研究

本文用透射电子显微镜研究了快速冷凝Ａｌ＿（４７）Ｃｕ＿（２５）Ｆｅ＿８Ｍｇ＿（２０）合金粉末。在淬火态粉末中，发现并确定了四个晶体相，在８００℃热处理的粉末中，观察到了Ｆ型二十面体准晶相。     

基于神经网络的集装箱运量预测

概述了神经网络的有关理论。研究了神经网络结构设计的步骤,方法及应注意的问题,应用神经网络技术对上海港集装箱运量进行了预测,并与灰色预测结果进行了比较。结果表明ＢＰ网络的预测精度高,是解决高度非线性系统预测问题的有种有效的方法。     

Detection of dynamic brain networks modulated by acupuncture using a graph theory model

Neuroimaging studies involving acute acupuncture manipulation have already demonstrated significant modulatory effects on wide limbic/paralimbic nuclei, subcortical gray structures and the neocortical system of the brain. Due to the sustained effect of acupuncture, however, knowledge on the organization of such large-scale cortical networks behind the active needle stimulation phase is lacking. In this study, we originally adopted a network model analysis from graph theory to evaluate the functional connectivity among multiple brain regions during the post-stimulus phase. Evidence from our findings clearly supported the existence of a large organized functional connectivity network related to acupuncture function in the resting brain. More importantly, acupuncture can change such a network into a functional state underlying both pain perception and modulation, which is exhibited by significant changes in the functional connectivity of some brain regions. This analysis may help us to better understand the long-lasting effects of acupuncture on brain function, as well as the potential benefits of clinical treatments.     

基于分形维数及考虑假集料影响的冷再生混合料级配控制方法

为了更好控制混合料级配,以获取最佳路用性能,对冷再生混合料级配分形特征以及沥青路面回收旧料（RAP）假集料特性开展了研究。首先选取了规范级配范围内6种代表性级配曲线,借助分形几何理论,建立了粒径分布函数,得到了合成级配分形维数（D）、粗集料级配分形维数（D_C）及细集料级配分形维数（D_F）,并分析了三者与冷再生混合料干劈裂强度、冻融劈裂强度比、动稳定度和最大弯拉应变的相关性,然后建立了基于级配分形维数的冷再生混合料路用性能预估模型,最后通过分析级配变异性对冷再生混合料性能的影响,提出了考虑假集料影响的冷再生混合料级配控制方法。结果表明：分形维数可以定量描述冷再生混合料粒径分布及级配走向,进而反映冷再生混合料各项路用性能,基于分形维数的性能预估模型可以较好预测冷再生混合料各项路用性能,预估值与实测值相对误差基本在15 %以内;当冷再生混合料“抽提前后级配变化率方差”（D_V）大于85或“抽提前后级配变化值”（V_a）大于3.6时,宜通过添加新粗集料或调整级配曲线靠近下限等措施来提升冷再生混合料高温抗力。     

一种基于概率滑动窗口的应用层DoS攻击防御模型

网络上种类繁多的服务面临着复杂且不安全的生存环境, 多种因素威胁着服务的生存, 应用层DoS攻击就是其中的重要因素之一。然而, 当前防御应用层DoS攻击的方法存在着对合法用户请求的误判, 需要额外的硬件设备支持和难以抵御某些低速率攻击等不足。为此,提出了一种全新的应用层DoS攻击防御模型——基于概率的滑动窗口模型PBSWM (ｐrobability-ｂased ｓliding ｗindow ｍodel)。该模型位于应用层, 利用滑动窗口机制控制客户端发送的请求速率和服务器端接收的负载总量, 利用概率发送控制在源端阻滞攻击者发送引发较大负载的请求, 利用概率接受控制防止来自少量客户的请求占用系统的大部分应用资源。实验结果表明,该模型能够达到降低攻击损害、保障服务生存的目的。