氮化硅薄膜MIM电容器的制备与性能研究

在被釉氧化铝陶瓷基片上,采用真空电阻蒸发法和等离子体增强化学气相沉积法制备了Au/NiCr电极薄膜及氮化硅(SiNx)介质薄膜,并对薄膜进行光刻图形化,制成了Au/NiCr/SiNx/Au/NiCr结构的MIM电容器。研究了所制电容器的介电性能、介温性能和I-V特性等电学性能。结果表明:所得MIM电容器具有很低的介电损耗(1MHz时tanδ为0.00192)及很高的电压稳定性;在–55～+150℃的范围内其1MHz时的电容温度系数为258×10–6/℃;另外,其I-V特性曲线显示出较好的对称性,漏电流密度较低,可承受较高的电压。     

A LP-based Admission Control Using Artificial Neural Networks for Integrated Services in Mobile Networks

In mobile networks the traffic fluctuation is unpredictable dueto mobility and varying resource requirements of multimedia applications.Henceit is essential to maintain the traffic within the network capacity to providethe service guarantees to running applications. Thispaper proposes an Admission Control (AC) scheme in a single mobile cellularenvironment supporting real-time and non-real-time application traffic. In thecase of a real-time and non-real-time multimedia applications, eachapplication has its own distinct range of acceptable Quality of Service (QoS)requirements(e.g., packet loss, delay, jitter, etc.). The network provides the service bymaintaining the application specified QoS range. We propose a LinearProgrammingResource Reduction (LP-RR) principle for admission control by maintainingQoSguarantees to existing applications and to increase the percentage ofadmissionto real-time and non-real-time applications. Artificial Neural Networks (ANNs)are used to solve linear programming problem, which facilitates an on-lineadmissioncontrol decision in the practical systems.The simulation results demonstrate that the proposed AC schemeperforms well in terms of admitted applications and maintains lower percentageof rejection to hand-off and new applications of different traffic classes.The suggested principle also shown that it is appropriate for the fairresourceallocation with improved resource utilization.     

均匀直线阵的波束形成

简述了单个信号和多个信号进入等距直 (天 )线阵列时波束形成的方法 ,分别用来自不同方向的 4个信号和 5个信号进入七个阵元的阵列进行试验 ,得出了仿真结果     

Non-invasive evaluation of carotid artery wall thickness using improved dynamic programming technique

An improved dynamic programming (DP) segmentation technique for detecting the intima-media layer of the far wall of the common carotid artery (CCA) of longitudinal and transversal ultrasound (US) images using optimal search technique is presented here. The algorithm is developed considering the normalization and smoothing for estimating the intima media thickness (IMT) of the normal and abnormal subjects. The segmentation features of different subjects obtained using the proposed technique have been compared with the manual measurements. The results show that an inter-observer error and a coefficient of variation are found as ±0.035 mm and 3.55%, respectively. The magnitudes of the IMT values have been used to explore the rate of prediction of blockage existing in the cerebrovascular and cardiovascular pathologies, and also hypertension and atherosclerosis.     

A joint TDOA and FDOA estimation algorithm based on second-order cone programming

ABSTRACT

Considering the low estimation accuracy of the traditional interpolation method, this paper, on the basis of second-order cone programming (SOCP), proposes a novel joint time difference of arrival (TDOA) and frequency difference of arrival (FDOA) estimation interpolation method, which can attain the sub-sample precision. The proposed method uses several discrete samples produced by cross ambiguity function (CAF) to structure the convex optimization models with regard to the interpolation surface. Then, the SOCP is utilized to obtain the interpolation surface which matches the discrete surface of CAF well. Finally, the method achieves the precision superior to the traditional TDOA and FDOA estimation directly through the search for the maximum of the continuous approximate surface. This method decreases the computational load without loss of precision and can efficiently reduce the limitation of finite sampling interval and sampling time in estimation precision. Numerical simulations show that the method in this paper is efficient and outperforms existing interpolation algorithms about estimation precision.     

线列阵目标定位同时跟踪的数学模型

研究了三点等间隔线列阵的目标定位同时跟踪的数学模型,提出了非线性滤波模型;给出了m点线列阵目标定位同时跟踪的数学模型;提出了2m-1点线列阵目标定位同时跟踪的数学模型,模型更为简化;最后,分析了"先定位后跟踪"与"定位同时跟踪"处理途径,提出由纯时延与非线性滤波相结合,为线列阵TMA研究提供了新的途径。     

VB.NET程序设计课程教学探索与实践

从VB.NET语言的特性出发,在传统VB语言的教学方法基础上,结合笔者的实际教学经验,分析了目前在VB.NET课程教学过程中存在的教学效果不理想的原因。分别从教学方法、教学手段和考核方式等方面提出了在课程教学中的具体应用策略,探索更适合于VB.NET课程的教学方法。     

A new approach to cell size scaling with a multi-dual cell and a buffer/background programming of unified RAM

New investigations are presented here on a high-density and DRAM-like high-speed non-volatile memory (NVM) application of unified RAM (URAM). For a high-density application of URAM, multiple data storage is demonstrated with a multi-dual cell (MDC). Because each NVM state can be split by programming with a one-transistor (1T) DRAM without a capacitor, the total number of memory states can be doubled. Furthermore, a high-speed DRAM-level NVM scheme is proposed for the joint operation of 1T DRAM buffer programming and NVM post-background programming. The MDC and the proposed scheme are unique URAM properties that can extend the application range of memory devices.     

Topological Design and Lightpath Routing in WDM Mesh Networks: A Combined Approach

Multicommodity flow models are commonly used to formulate the logical topology design (LTD) problem and the lightpath routing (LR) problem as mixed integer linear programming (MILP) problems. In general, MILP formulations are intractable even for relatively small networks due to the combinatorial complexity of the problem. In this paper we propose improvements to these models and a method to solve the LTD and the LR problems in a combined manner. The interest is two fold: firstly, by tackling the two problems with separate models, problem instances of realistic size (up to 14 nodes in this paper) can be dealt with. Furthermore, different combinations of optimization models and objective functions can be investigated in a modular manner. Secondly, the mechanisms proposed to combine the problems allow to keep track of the global design problem when solving each individual step.     

语音信号的线性预测分析在DSP上的优化实现

语音信号的线性预测分析是语音压缩中的一个重要环节，占据语音压缩计算中的大部分时间，为提高语音压缩的速度，在C54x系列DSP上用汇编语言实现了语音信号的线性预测分析，并对其进行优化。最终可以使代码的运行时间减少到原来的5％左右。     

MPLS网络带宽配置的Hose模型及优化算法

服务质量(QoS)和流量工程(TE)是在当前网络中提供实时应用业务的两项重要技术.多协议标记交换(MPLS)在IP网QoS提供和TE实现中起了关键作用.本文首先介绍了Hose模型,分析了MPLS网采用该模型提供多种VPN业务的流量工程问题,提出了MPLS网采用该模型提供多种VPN业务的最优带宽配置算法,给出了相关的优化模型和实例,实例优化结果表明该方法能在确保业务的QoS要求并且网络开销增加较少的情况下,有效地均衡网络负荷.     

Robust stabilization of stochastic Markovian jumping systems via proportional-integral control

This paper studied the proportional-integral (PI) control problems of stochastic Markovian jump systems (MJSs) with uncertain parameters. Under complete access to the system states, the PI controller design procedure turns to static output feedback control problem that make the closed-loop dynamics of this class of uncertain MJSs be robustly stochastically stable. A sufficient condition on the existence of PI controller is presented and proved by means of linear matrix inequality techniques. The presented results are extended to the case when the system states are not accessible. In order to make the relative equations approximate with a satisfactory precision, we described the problem as a semidefinite programming one via disciplined convex optimization. Simulation results illustrate the validity of the proposed algorithms.     

虚拟网络功能资源容量自适应调整方法

为了实现网络功能虚拟化平台中物理资源的动态按需分配,该文提出一种虚拟网络功能资源容量自适应调整方法.该方法首先利用长短期记忆网络预测平台流量的变化趋势,然后结合流量预测结果设计了一种基于多层前馈神经网络的虚拟网络功能资源需求预测方法,最后根据资源需求预测结果,设计了一种基于动态编码遗传算法的虚拟网络功能动态部署方法,实...     

盲孔裂缝的成因与改善

盲孔裂缝是高密度互连印制电路板(HDI)在无铅回焊时最常见的盲孔可靠性问题之一,其影响因素多,原因复杂。文章通过盲孔互连测试板,运用实验设计(DOE)手法对材料、激光能量、除胶速率、沉铜前微蚀大小、化学沉铜厚度、电镀前铜面清洗等进行了实验。结果表明,激光能量和沉铜前微蚀控制是造成盲孔裂缝的显著因子,激光能量选用16/14/12(3shot)和微蚀量控制1.5μm时效果最佳,不会产生盲孔裂缝问题。     

A comprehensive layered approach for implementing internet of things-enabled smart grid: A survey

The current power grid confronts severe challenges in satisfying customers' demands. Fast transition to the much more flexible power grid enriched with renewable energies, micro-grid, and distributed energy resources has been considered as a straightforward solution to the customers’ high demand. Using smart equipment and renewable energies, electric power generation and storage through the power grid domains will be facilitated, which enables bi-directional energy and information flows. The power grid with such enhanced features is called Smart Grid (SG). Controlling and managing the diverse sets of variables in the SG requires precise measuring, monitoring, communicating, and analytic systems which increase the complexity of the grid. This complexity is the main barrier to the realization of the SG up to now. The emergence of the Internet of Things (IoT) simplifies monitoring, communications, and data processing among smart things to connect to anything in the world. This motivates the SG stakeholders and researchers to proceed with the best way to exploit the IoT technologies in the SG. In this survey paper, we summarize various efforts in this regard to highlight the advantages of the IoT-enabled SG and its probable gaps. To this end, a comprehensive layered approach has been proposed in this paper to classify various applications of the IoT technologies in the SG. Investigating IoT opportunities in each architecture layer facilitates the role of each technology and its relationship with other technologies. Also, open issues and future measures for the realization of IoT-enabled SG have been discussed in the paper.     

多约束直线阵列天线辐射散射特性优化

对于有口径、阵元数和最小阵元间距约束的直线阵列天线,运用改进的遗传算法通过调整单元的位置来同时优化其辐射和散射特性.并用矩量法验证了论文算例经优化后,完全计入互耦的辐射方向图峰值副瓣电平在-18.5 dB以下,且在绝大部分角域处于低散射状态,表明论文方法能指导兼顾辐射和散射特性的多约束阵列天线设计.     

Characteristics of an elliptical ring antenna excited by a linear electric probe

This paper presents the characteristics of an elliptical ring antenna excited by a linear electric probe. Based on the waveguide principle, the suitable cross-sectional dimension of the ring that yields the dominant mode (TE_C11 mode) will be formulated in terms of the cut off wavelength. The variation of the antenna characteristics, depending on cross-sectional dimension, ring length and probe length, were investigated using numerical electromagnetic code (NEC) based on the method of moments (MoM). From the experiment, the prototype antenna provides bidirectional pattern with HPBW in E-plane and H-plane of 83 and 46 degrees, respectively, and the gain of 5.1?dBi with SWR?相似文献   

策略网管技术的研究现状及QOS应用

随着网络的发展和多媒体应用的增加,如何实现网络管理的智能化及提供服务质量保证已经成为目前网络管理研究的重点,基于策略的网络管理被认为是解决这两个难题的有效途径.本文详细介绍了策略网管的研究现状、框架结构及QoS应用,并分析了其优势及尚待解决的问题.     

Adaline神经网络随机逼近LMS算法的仿真研究

基于最小二乘（LMS）统计算法的自适应线性元件（Adaline）神经网络是非线性分类的重要工具之一。从计算机仿真的角度研究随机逼近LMS学习方法的特点,从步长设置、收敛性、收敛速度、算法抗噪性、判断的准确率等多个参量评估随机逼近法的性能。仿真结果表明,对于不同的初始步长设置,神经元完成学习任务的训练时间不同;在保证学习收敛性的前提下,步长越大,收敛速度越快,但收敛的稳定性变差。权矢量的初始值设置对学习的收敛性没有影响。