同步整流技术的特点与分析比较

同步整流技术在低压大电流开关模块电源领域得到了广泛的应用。本文从从器件、电路结构以及工作方式等三个不同的角度,对同步整流技术进行了分析和比较,以便于能够更好的理解和应用同步整流技术。     

基于瞬时无功理论的无功电流检测方法研究

基于瞬时无功功率理论,对用于无功功率补偿设备的无功电流检测方法进行了研究.通过分析目前常用的各种电力系统无功电流检测方法的优劣,按照不同补偿要求,采用了iP-iP法和Hilbert法两种具体的检测方法.运用Maflab对两种方法的仿真模型进行了稳态和动态性能分析,最终在工控机硬件平台下进行了验证.结果表明,这两种算法均能很好地检测出三相系统中的无功电流,从而达到无功补偿的目的.     

以陶瓷厚膜为绝缘层的绿色薄膜电致发光器件

首次报道了采用高介电常数的陶瓷厚膜作绝缘层、ＺｎＳ∶Ｅｒ作发光层的绿色薄膜电致发光器件（ＣＴＦＥＬ）。器件结构为陶瓷基片／内电极／陶瓷厚膜／发光层（ＺｎＳ∶Ｅｒ）／透明电极（ＺｎＯ∶Ａｌ）。发光层是用电子束蒸发制备的,透明电极是采用溅射法制备的。器件在市电频率驱动下发出明亮的绿光,研究了器件的亮度－电压和效率－电压等特性。     

Comparison of the Acquisition Performance of the Matched Filter and Integrate-and-Dump Receivers in a Multipath Delay and Fading Environment

The Matched Filter and the Integrate-and-Dump circuit techniques are both attractive acquisition methods for CDMA systems. Acquisition using the matched filter technique has attracted considerable interest in recent years since it shows a better performance in the presence of Gaussian noise. On the other hand acquisition using an integrate-and-dump circuit is attractive because it is less complex to implement. However, the acquisition performance can be affected significantly by the channel characteristics. In this paper, a numerical method and a computer simulation have been developed in order to compare the two acquisition systems in different propagation environments. Results show that the acquisition using a matched filter is much faster than that using the integrate-and-dump circuit for the reception of spread-spectrum signals in the presence of Gaussian noise. However, in a multipath delay and fading environment, the results show that the mean acquisition time using the matched filter is not always faster than that using the integrate-and-dump circuit. The results show that it depends on the fading, the delay, the number of users and the signal-to-noise ratio.     

最优群孔激光打孔自动编程软件的开发

阐述在数控激光打孔机上进行群孔激光打孔时,最佳打孔路线数学模型的建立以及解决该模型的算法。在此基础上开发了适应于数控激光打孔系统的自动编程软件。     

Macroscopic and Microscopic Structures of Cesium Lead Iodide Perovskite from Atomistic Simulations

A first‐principles‐based effective Hamiltonian is developed and employed to investigate finite‐temperature structural properties of a prototype of perovskite halides, that is CsPbI₃. Such simulations, when using first‐principles‐extracted coefficients, successfully reproduce the existence of an orthorhombic Pnma state and its iodine octahedral tilting angles around room temperature. However, they also yield a direct transformation from Pnma to cubic $Pm\overline{3}m$ upon heating, unlike measurements that reported the occurrence of an intermediate long‐range‐tilted tetragonal P4/mbm phase in‐between the orthorhombic and cubic phases. Such disagreement, which may cast some doubts about the extent to which first‐principle methods can be trusted to mimic hybrid perovskites, can be resolved by “only” changing one short‐range tilting parameter in the whole set of effective Hamiltonian coefficients. In such a case, some reasonable values of this specific parameter result in the predictions that i) the intermediate P4/mbm state originates from fluctuations over many different tilted states; and ii) the cubic $Pm\overline{3}m$ phase is highly locally distorted and develops strong transverse antiphase correlation between first‐nearest neighbor iodine octahedral tiltings, before undergoing a phase transition to P4/mbm under cooling.     

"十一五"规划国家级重点通信项目

《信息产业科技发展“十一五”规划》提出设立部分重大项目,力争实现重点突破,形成一批具有自主知识产权的核心技术和创新产品,打造较为完整的产业链,形成世界一流的产业群。这其中,与通信相关的重点项目主要有:宽带无线移动通信、下一代网络、家庭网络、智能终端、数字电视等。本部分将对我国在以上领域的现状、项目的具体内容和目标、实现这些目标的具体计划以及相关厂商在各领域的努力和成绩进行介绍。     

电子设备对于电磁脉冲的屏效研究

应用CST分析带有孔缝的屏蔽体的电磁耦合规律.对不同形状以及不同位置的孔缝对屏蔽体屏蔽效能的影响进行分析,并对电磁干扰对内置电路的影响进行了分析,利用外部电磁干扰对内置电路导线上的感、应电压来分析电磁耦合对电路的影响程度.     

Automatic gait recognition based on statistical shape analysis

Gait recognition has recently gained significant attention from computer vision researchers. This interest is strongly motivated by the need for automated person identification systems at a distance in visual surveillance and monitoring applications. The paper proposes a simple and efficient automatic gait recognition algorithm using statistical shape analysis. For each image sequence, an improved background subtraction procedure is used to extract moving silhouettes of a walking figure from the background. Temporal changes of the detected silhouettes are then represented as an associated sequence of complex vector configurations in a common coordinate frame, and are further analyzed using the Procrustes shape analysis method to obtain mean shape as gait signature. Supervised pattern classification techniques, based on the full Procrustes distance measure, are adopted for recognition. This method does not directly analyze the dynamics of gait, but implicitly uses the action of walking to capture the structural characteristics of gait, especially the shape cues of body biometrics. The algorithm is tested on a database consisting of 240 sequences from 20 different subjects walking at 3 viewing angles in an outdoor environment. Experimental results are included to demonstrate the encouraging performance of the proposed algorithm.