浅谈网络信息背景下的银行人力资源管理

当前已经逐步成为信息化、网络化,各个银行之间的竞争主要体现在其核心能力的竞争。人力资源在银行竞争中具有重要的地位和作用,在银行竞争优势中也是一种难以模仿的特定资源,是保持银行竞争优势的源泉,更是决定银行在信息化社会中竞争成败与否的关键因素。本文以网络信息时代下人力资源管理理论为基础分析我国现阶段银行人力资源管理的特点和所存在的一些问题,并针对这些问题提出对策建议,以提高人力资源管理效率,推进我国银行的发展。     

省级广播电视覆盖网的现状调查及有关技术问题探讨

本文介绍了省级广播电视覆盖网现状的综合调查（３个频段６套节目）及山区典型地域密集式调查的组织、技术准备、实施、资料管理等情况，从技术角度分析了覆盖调查中的一些问题，经验、教训、探讨了覆盖调查中的若干技术问题。     

Cu CMP工艺对薄膜介电常数的影响机制

研究了使用不同研磨液的Cu CMP工艺对超低介电常数(ULK)薄膜介电常数k值的影响.实验结果表明经过Cu CMP工艺,ULK薄膜的介电常数k均有不同程度的增加.XPS成分分析结果表明,ULK薄膜表面C含量的增加是造成介电常数k值升高的主要原因.这主要是由于CMP工艺中,化学品溶液进入多孔的ULK薄膜.而退火工艺可以使得化学品挥发,从而使ULK薄膜表面C含量降低,由此介电常数k基本上得以恢复.初步建立了Cu CMP工艺对介电常数k影响的物理模型.根据模型计算的k结果为2.75,与实测值2.8基本符合.     

Context-based lossless interband compression-extending CALIC

This paper proposes an interband version of CALIC (context-based, adaptive, lossless image codec) which represents one of the best performing, practical and general purpose lossless image coding techniques known today. Interband coding techniques are needed for effective compression of multispectral images like color images and remotely sensed images. It is demonstrated that CALIC's techniques of context modeling of DPCM errors lend themselves easily to modeling of higher-order interband correlations that cannot be exploited by simple interband linear predictors alone. The proposed interband CALIC exploits both interband and intraband statistical redundancies, and obtains significant compression gains over its intrahand counterpart. On some types of multispectral images, interband CALIC can lead to a reduction in bit rate of more than 20% as compared to intraband CALIC. Interband CALIC only incurs a modest increase in computational cost as compared to intraband CALIC.     

Above-threshold analysis of second-order circular-grating DFBlasers

The behavior of second-order circular-grating DFB lasers in the above-threshold regime are analyzed. The formulation uses the standing wave method for treating lasers with second-order gratings. The effects of spontaneous emission and the variation of carrier and photon densities in the radial direction are included in a self-consistent fashion in the model. In particular, we examine the output power emitted from the surface of the laser, the near-field, and the far-field pattern of the laser as a function of the injected current     

精度定位在雷达体制识别中的应用

对现有的一些雷达体制识别方法进行了分析 ,指出了这些方法存在的不足 ,提出了把通过高精度测向、定位所获得的目标方位和位置信息用于目标雷达体制识别的方法 ,这种方法对于一般方法难以识别的特殊体制雷达 ,如频率捷变雷达、频率分集雷达等的识别非常有效。     

Design and Analysis of Single-Bit Ternary Matched Filter

Wireless Personal Communications - Matched filtering has found its way in many diverse applications such as communication, signal processing and more. The emphasis of this paper is on the design...     

π共轭聚吡咯衍生物非线性响应时间的测量

合成一种新型π共轭聚吡咯衍生物———聚吡咯 { 2 ,5 二 [(对硝基 )苯甲烯 ]} (PPNB) ,制备了该高分子的N 甲基 2 吡咯烷酮 (NMP)溶液和聚乙烯醇 (PVA)复合薄膜。用 5 32nm ,8ns脉冲激光作抽运光源 ,氦氖激光 (6 32 8nm ,CW)为探测光源 ,测量了该高分子的非线性光学响应过程 ,测得PPNB/NMP溶液和PPNB/PVA薄膜的激光诱导折射率的建立时间分别为 4μs和 5 μs,恢复时间分别为 30ms和 5ms。引起这种非线性效应的机制可能主要是热光非线性效应。     

Project Oriented Problem Based Learning: A Wireless Sensor Network Perspective

Every nation rely on latest engineering technologies to foster in today’s technological era. Wireless Sensor Networks (WSNs) is one of the latest emerging technologies being the center of interest of today’s researchers. All the researchers work hard to produce quick deliverables through Research and Development (RandD) and by applying different learning pedagogues. Currently, the learning pedagogues in Engineering RandD are Project Based Learning and Problem Based Learning (PBL). Based on these pedagogues, this paper propose and implements a hybrid pedagogy called Project Oriented PBL (PO-PBL) which is time effective and result oriented learning pedagogy. It has resulted in providing impetus to RandD in WSNs. Further the proposed pedagogy is divided into two paradigms namely PO-PBL Macro Model and PO-PBL Micro Model. We observed that PO-PBL Macro Model results in optimal number of deliverables in time restricted manner over large scale. Moreover, we have also implemented PO-PBL Micro Model, compared it with PO-PBL Macro Model and propose PO-PBL Micro Model as basis for designing self-learning algorithm for WSNs devices.     

2D HRR Radar Data Modeling and Processing

High Range Resolution (HRR) -based Automatic Target Recognition (ATR) has attracted increasing attention due to a number of potential advantages over alternative radar techniques in moving target identification. Most current HRR-based ATR studies have been conducted using 1D HRR signatures. However, these 1D HRR signatures are generally plagued by scintillation effects, and thus demonstrate highly irregular behavior that dramatically degrades the performance and robustness of algorithms based on these signatures. In order to circumvent this difficulty, an alternative HRR radar data representation and processing technique is presented in this paper. This technique models and extracts the target characteristics directly, based on the 2D HRR raw data. In this paper, we first derive a general, but complex HRR radar model, and then simplify this model by instantiating a set of real-world radar and target parameters for the model. This simplification process produces two HRR radar models with different degrees of simplicity. After establishing this set of models, the typical HRR data processes, such as feature extraction and clutter suppression, are reduced to one problem, which is model-parameter estimation. Based upon the most simplified HRR model we proposed, we devise two model- parameter estimation algorithms. One is a scatterer extraction algorithm based on available 1D Parameter Estimation (1DPE), while the other is based on 2D discrete Fourier Transform (2DFT). In order to examine the performance of these two algorithms a set of simulations are conducted. The experimental results are presented, and the performance comparison between 1DPE and 2DFT is presented.