EDA技术及其应用

随着大规模集成电路技术和计算机技术的不断发展,电子技术得到了飞速发展,电子设计自动化（EDA）技术,加速了现代高科技发展的进程_从微电子技术、微电脑技术到信息技术等领域,EDA技术的含量正以惊人的速度上升,在电子系统设计上产生了具有里程碑意义的飞跃,为大规模可编程逻辑器件的应用奠定了基础．     

3DV quality model based depth maps for view synthesis in FTV system

Depth maps are used for synthesis virtual view in free-viewpoint television (FTV) systems.When depth maps are derived using existing depth estimation methods,the depth distortions will cause undesirable artifacts in the synthesized views.To solve this problem,a 3D video quality model base depth maps (D-3DV) for virtual view synthesis and depth map coding in the FTV applications is proposed.First,the relationships between distortions in coded depth map and rendered view are derived.Then,a precisely 3DV quali...     

A fast motion estimation algorithm for mobile communications

The limitation of processing power, battery life and memory capacity of portable terminals requires reducing encoding complexity in mobile communications. Motion estimation (ME) is the most computationally intensive module in a typical video codec, which determines not only the encoder's performance but also the reconstructed video quality. In this paper, a fast ME algorithm for H.264/AVC baseline profile coding is proposed based on the analysis of motion vector field and error surface, and the statistical distributions of different type macroblocks (MBs). Simulation results showed that: in comparison with MVFAST, the proposed algorithm can decrease the computational load over 7.2% with no requirement of expanding memory capacity while maintaining the same video quality as MVFAST. Furthermore, its simplicity makes it easy to be implemented on hardware.     

Technical analysis of 3DTV and outstanding issues

This paper analyzes the technical characteristic of three-dimensional display technology (3DTV) system and some core technologies yet to be solved. It points out the ways to solve these problems and presents an effective solution for the discomfort of watching the three-dimensional TV.     

MIMO-OFDM系统中快衰落信道的估计

A channel estimation approach for orthogonal frequency division multiplexing with multiple-input and multipleoutput （MIMO-OFDM） in rapid fading channels is proposed. This approach combines the advantages of an optimal training sequence based least-square （OLS） algorithm and an expectation-maximization （EM） algorithm. The channels at the training blocks are estimated using an estimator based on the OLS algorithm. To compensate for the fast Rayleigh fading at the data blocks, a time domain based Gaussian interpolation filter is presented. Furthermore, an EM algorithm is introduced to improve the performance of channel estimation by a few iterations. Simulations show that this channel estimation approach can effectively track rapid channel variation.     

Application of honey-bee mating optimization on state estimation of a power distribution system including distributed generators

We present a new approach based on honey-bee mating optimization to estimate the state variables in distribution networks including distributed generators. The proposed method considers practical models of electrical equipments such as static var compensators, voltage regulators, and under-load tap changer transformers, which have usually nonlinear and discrete characteristics. The feasibility of the proposed approach is demonstrated by comparison with the methods based on neural networks, ant colony optimization, and genetic algorithms for two test systems, a network with 34-bus radial test feeders and a realistic 80-bus 20 kV network.     

IDS中扫描系统的分析与设计

入侵检测系统包含：扫描系统、主体IDS,IDS审计分析系统三个部分,其中扫描系统是IDS设计中非常重要的部件,包括扫描器、弱点(漏洞)数据库,以及分布在各主机上的扫描子系统。本文从扫描器的原理、网络扫描器的设计进行详细的介绍。     

空时MIMO-OFDM 系统中基于扩展Kalman 滤波的信道估计

A space-time coded multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system is considered as a solution to the future wideband wireless communication system.This paper proposes an extended Kalman filtering-based (EKF-based) channel estimation method for space-time coded MIMO-OFDM systems.The proposed method can exploit pilot symbols and an extended Kalman filter to estimate channel without any prior knowledge of channel statistics.In comparison with the least square (LS) and the least mean square (LMS) methods,the EKF-based approach has a better performance in theory.Computer simulations demonstrate the proposed method outperforms the LS and LMS methods.Therefore it can offer dramatic system performance improvement at a modest cost of computational complexity.     

一种新的OFDM系统信道盲估计的子空间算法

为提高OFDM系统的传输效率,提出了一种利用接收信号的二阶统计特性实现信道盲估计的子空间算法.首先将OFDM信号分成3部分,利用循环前缀(CP)引入的信息冗余,对OFDM系统的传输方程作矩阵变换,得到一个信道矩阵为Toeplitz矩阵的新方程.基于此方程推导出信道估计的子空间算法.Toeplitz矩阵结构使算法的推导和实际的计算大为简化.该算法不需要改变OFDM系统结构,不受信道零点位置的限制,在信道过估计的情况下也适用.实验结果验证了算法的有效性.     

一种快衰落信道中OFDM系统的Kalman信道估计方法

针对频率选择性快衰落信道的多径干扰和较大的多普勒频率扩展,提出了一种基于导频的低维Kalman滤波算法用于正交频分复用(OFDM)系统信道估计.为了简化计算,采用一阶自回归(AR)过程对时变信道进行建模.利用复杂度大大降低的一维Kalman滤波算法进行单个子载波的并行信道估计,并采用基于导频的最小平方(LS)算法估计时变的信道衰减因子a.为了同时跟踪信道的频域相关性,采用了最小均方误差(MMSE)线性合并器对Kalman信道估计结果进行修正.在5.5 GHz频段上的仿真表明了这种基于导频的低维Kalman信道估计方法,降低了传统的Kalman滤波结构的复杂度,能够跟踪信道的时频变化,并且在一定程度上可以接近于理想信道估计的误码率性能.     

SVM for density estimation and application to medical image segmentation

A method of medical image segmentation based on support vector machine （SVM） for density estimation is presented. We used this estimator to construct a prior model of the image intensity and curvature profile of the structure from training images. When segmenting a novel image similar to the training images, the technique of narrow level set method is used. The higher dimensional surface evolution metric is defined by the prior model instead of by energy minimization function. This method offers several advantages. First, SVM for density estimation is consistent and its solution is sparse. Second, compared to the traditional level set methods, this method incorporates shape information on the object to be segmented into the segmentation process. Segmentation results are demonstrated on synthetic images, MR images and ultrasonic images.     

Hybrid intelligent PID control design for PEMFC anode system

Control design is important for proton exchange membrane fuel cell （PEMFC） generator. This work researched the anode system ofa 60-kW PEMFC generator. Both anode pressure and humidity must be maintained at ideal levels during steady operation. In view of characteristics and requirements of the system, a hybrid intelligent PID controller is designed specifically based on dynamic simulation. A single neuron PI controller is used for anode humidity by adjusting the water injection to the hydrogen cell. Another incremental PID controller, based on the diagonal recurrent neural network （DRNN） dynamic identification, is used to control anode pressure to be more stable and exact by adjusting the hydrogen flow rate. This control strategy can avoid the coupling problem of the PEMFC and achieve a more adaptive ability. Simulation results showed that the control strategy can maintain both anode humidity and pressure at ideal levels regardless of variable load, nonlinear dynamic and coupling characteristics of the system. This work will give some guides for further control design and applications of the total PEMFC generator.     

Particle filter for joint frequency offset and channel estimation in MIMO-OFDM systems

A particle filter is proposed to perform joint estimation of the carrier frequency offset (CFO) and the channel in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) wireless communication systems. It marginalizes out the channel parameters from the sampling space in sequential importance sampling (SIS), and propagates them with the Kalman filter. Then the importance weights of the CFO particles are evaluated according to the imaginary part of the error between measurement and estimation. The varieties of particles are maintained by sequential importance resampling (SIR). Simulation results demonstrate this algorithm can estimate the CFO and the channel parameters with high accuracy. At the same time, some robustness is kept when the channel model has small variations.     

门座起重机RCM维修决策系统设计

应用面向对象高级语言C#和SQL Server 2005数据库,采用风险矩阵法、模糊层次分析法、根本原因分析法、综合决策法、逻辑决策法等方法,开发一套基于RCM技术,能够完成港口门座起重机的基础信息管理,以风险为基础,具有良好目标性的维修决策系统,根据用户选择的影响因素来确定其零部件的维修方式和最佳维修周期,以提高机械设备的可靠性和安全性,为企业提供优化、系统、科学的维修决策支持。     

Siemens 200仿真软件在PLC控制系统设计中的应用

介绍了Siemens仿真软件对Siemens200系列可编程控制器的常用编程方法、继电器电路设计梯形图的经验设计法和顺序功能图设计法所设计出的程序进行了仿真验证,并对相应时序变量实时监测。结果表明,该方法效果完全与硬件调试一致,为教学和工程实际实践提供了一种非常有用的方法。     

专门针对SQA-NHD国际本科生的学术用途英语写作课程设计

与普通的大学生不同,来自SQA-NHD国际本科项目的学生是一个特殊的学习群体。由于国内高校英语教学的目的、方法、课程设置和考试制度与英语国家大学有所不同,决定了在为这一类特殊学生开设英语写作课程时需要有专门的设计。基于此,结合教学实践,提出了一项针对国际本科生的学术用途英语写作课程设计,以期培养和锻炼国际本科生的英语学术论文写作能力。     

专门针对独立学院英语专业学生的商务用途英语课程设计

与普通本科高校相比,独立学院的人才培养目标应当以市场为导向,以能力培养为本位,培养学生应用所掌握的知识和技术解决实际问题的能力。商务英语的特殊决定了在为独立学院英语专业学生开设商务英语课程时需要有针对性的特殊设计。本文结合作者所在的一所独立学院的教学实践,从课程设计背景、需求分析、课程内容、评估等方面进行探讨,提出了一项专门针对独立学院英语专业学生的商务用途英语课程设计。     

无线电能传输TS-S型补偿网络的建模与设计

补偿网络是无线电能传输系统中的重要组成部分,可用于提高电能传输的效率、输出功率及稳定性。在对TS-S型补偿网络建模及其参数化设计分析的基础上,采用算例验证TS-S型补偿网络模型的定频谐振、恒定电压增益和高效率特性,通过实验验证相关推论及方法。结果表明,样机电压输出稳定,在耦合系数为0.2时的效率峰值达到90%。     

Optimization of fermentation conditions for P450 BM-3 monooxygenase production by hybrid design methodology

INTRODUCTION P450 enzymes are found throughout nature and can catalyze the oxidation of various chemicals (Ortiz de Montellano, 1995). Because of their important roles in these processes, numerous systems have been developed for the expression of P450s in vitro (Helvig and Capdevila, 2000; Nakamura et al., 2001; Deeni, 2001). But P450 enzymes fermentation levels in the microbial system are too low to catalyze the reactions for industrial preparations. Therefore, it is necessary to impr…     

Multiple description scalable video coding based on 3D lifted wavelet transform

INTRODUCTION With the expansion of multimedia applications, video transmission is becoming an important issue in the research area of communication. It is very im- portant to compress a large amount of video data effectively, which has already attracted considerable attention recently. To make source coders both er- ror-resilient and network-adaptive are two main challenges facing the video compression techniques. It is necessary to make the bitstreams temporal, spa- tial and SNR scalabl…