银行计算机网络风险防范与对策研究

随着国际化进程对银行业带来的巨大冲击,我国各家银行机构都在不断进行业务创新,极大促进了计算机及网络技术在银行业务领域广泛应用,也使各家银行机构电子化及服务水平都得到不断提高.     

我国股份制商业银行资本充足率问题与对策研究

近年来,随着金融自由化和国际化步伐的逐步加快,为提高本国银行业的市场竞争力,金融监管机构一方面放松了对银行业的监管,另一方面对资本充足率提出了比以往更严格的监管要求,使之成为银行监管的核心。目前,我国股份制商业银行资产业务快速扩张,资本充足率却逐年下降,都不同程度的面临着资本不足的问题。因此,分析探讨股份制商业银行资本管理方面存在的问题,寻求资本补充的路径具有非常重要的理论意义和实际意义。     

引进外资银行对中资银行影响的浅析

20世纪80年代以来,随着发展中国家金融自由化浪潮的兴起,金融全球化进程不断加快。作为金融业的核心部门,银行业的国际化浪潮席卷世界各地。银行业对外开放是我国改革开放基本国策的有机组成部分,是我国经济金融日益融入世界经济的客观要求,是推进我国银行业改革、发展和提高整体竞争力的重要力量。     

我市商业银行风险管理文化建设研究

随着世界经济一体化和金融全球化进程的加快，商业银行业务的发展和市场竞争的不断加剧，银行业风险显现出复杂多变的特征，银行风险管理内涵日益丰富，风险管理理念不断更新，商业银行风险管理文化对银行风险管理的作用逐渐突出，商业银行对风险管理文化建设重要性的认识也越来越深刻。     

我国<金融企业会计制度>会计准则的国际协调

随着我国银行业对外资银行开放程度的加大以及中资银行进一步走向国际市场,我国银行业的国际化发展在不断加快.但在其发展进程中还存在许多障碍,其中银行会计准则就是一个重要方面,我国目前的会计准则部分内容还不能满足银行国际化发展的需要.因此不断推进我国会计准则国际化进程,加快会计准则的国际协调,对于我国银行业的国际化发展无疑具有重要的意义.     

我国《金融企业会计制度》与会计准则的国际协调

随着我国银行业对外资银行开放程度的加大以及中资银行进一步走向国际市场，我国银行业的国际化发展在不断加快。但在其发展进程中还存在许多障碍，其中银行会计准则就是一个重要方面，我国目前的会计准则部分内容还不能满足银行国际化发展的需要。因此不断推进我国会计准则国际化进程，加快会计准则的国际协调，对于我国银行业的国际化发展无疑具有重要的意义。     

西方商业银行发展趋势分析

西方商业银行近几年的发展出现了零售业务、公司业务、中间业务、风险管理、金融创新等新趋势。随着世界金融经济全球化的快速发展,我国银行业将面临更激烈的竞争。关注国际先进银行的业务发展特点及趋势,将有助于我国商业银行在今后加快业务、战略和技术的创新,取得更快的突破。     

中美商业银行证券投资业务的国际比较研究

近年来随着经济的不断发展,金融行业尤其是银行得到迅速的成长,无论是国际社会还是国内社会,银行的投资都显著增加。随着世界经济一体化进程的加快,大量国际资本汇集在各大世界性银行里,银行投资,尤其是证券投资,更是成为近年来拉动银行发展的重要投资手段。本文从银行证券投资的品种和资产配比入手,对我国银行业在证券领域的投资与西方国家的银行业进行研究与分析,旨在探讨我国银行业在证券投资业务的未来发展路径。     

浅谈我国国有商业银行市场营销管理

随着世界经济金融一体化进程的加快,特别是我国加入WTO后金融市场逐步放开,外资银行陆续进入国内市场,我国银行业面临着严峻的挑战和新一轮的发展机遇,市场营销已经成为我国国有商业银行经营管理工作中重要的组成部分。通过对我国国有商业银行的研究,我国国有商业银行应把握机会,结合自身的境况,充分发挥自己的优势,同时学习国外银行的先进文化理念,采取适合自身的市场营销策略;要根据市场需求变化和自身业务发展状况提供全方位的金融产品服务,提高产品营销效率;加快金融产品创新,提高产品的差异性和多样化,最大限度地满足客户多方面的金融需求。从而更好地在市场竞争中不断进步与长久发展。     

国有商业银行必须进行综合改革

在20世纪90年代，金融全球化进程加快，国际范围内银行间的并购风潮使得银行业的行业集中度上升、单个银行的规模显著扩张。不仅如此，信息技术革命的迅速推进引发了世界范围内银行业的传统业务和产业组织结构的深刻变化，使银行业出现分散化和集中化并存的趋势。针对现实经济活动过程中出现的这种新变化和趋势，当前国有银行体制转轨应该选择怎样的路径？改革的侧重点是产权结构还是市场结构？制定政策的原则应该是什么？     

提高对雷达隐蔽扫描角跟踪系统干扰性能的研究

分析了对隐蔽扫描雷达角跟踪系统实施匀速扫频式干扰的缺点。提出了一种实现快速一慢速扫频的方法，即先快速扫描以捕捉雷达角扫描频率范围，再在此小范围内进行慢扫。以确定敌方雷达的角扫描频率。文中还给出了改进的系统结构和主要电路框图，并结合该系统的改进内容针对研究中的主要技术难点作了详细的分析。     

基于感兴趣区域的自适应帧内更新编码算法

针对视频压缩码流对信道差错异常敏感的问题,提出了一种基于感兴趣区域的自适应帧内更新编码算法。该算法利用人眼的视觉感知特性设计感兴趣区域提取模型,根据信道差错累积情况自适应调整帧内更新编码策略,将更少的失真分配给人眼感兴趣区域,提高差错信道下传输视频图像的主客观质量。实验结果表明,与基于端到端失真的帧内更新算法相比,在不同的信道丢包条件下,所提算法可以获得更好的主客观质量,感兴趣区域的峰值信噪比（PSNR）平均提高0.87 dB左右,提高了差错信道下视频通信的鲁棒性。     

基于多路摄像的视频运动目标智能分析系统

为实现对视频运动目标落点的准确定位与参数分析,并满足其实时性要求,研发了基于多路视频图像的运动目标智能分析系统。该系统综合利用图像预处理和判读技术,在改进ViBe和Mean-Shift等相关算法的基础上,对视频图像进行连续的实时滤波、目标检测和定位以实现对目标参数的智能分析。同时,提出了基于多路视频信息定位目标落点算法和多摄像机协同调度技术。实验结果表明,该系统具有精度高、实时性强等特点,具有较高的实用价值。     

利用SRUDP的3G无线网络视频监控系统设计

为促进无线视频监控领域新技术的开发和应用,立足解决工程实际问题,提出了一种利用简 单可靠用户数据报协议(SRUDP)的3G无线网络视频监控系统的新型设计方案。系统可以对H 264视频流进行分层 模式的高效编码、压缩纠错和实时传输控制,并重新封装用户数据报协议(UDP)、SRUDP和IP 报头。系统采用滑 动窗口机制和重传机制来进行消息的收发同步和流量控制,可以实现任意用户终端对任意监 控点的有效监控。系统视频QoS的控制方式运用迭代算法,发送端可以根据反馈信息通过编 码器进行自适应调整速率,并参考SRUDP缓存进行参数修改,实现鲁棒控制。仿真实验表明 ,在3G网络环境下,基于SRUDP的视频应用在降低视频时延和包丢失率、减少网络拥塞、提 高传输速率和改善视频质量等方面具有明显的优越性。     

Ernesto R. Gantman. Capitalism, Social Privilege and Managerial Ideologies. Aldershot, U.K.: Ashgate, 2005. viii + 185 pp. ISBN 0-7546-4186-4, $99.95.

Is management a science or an ideology? Do management theoriesexplore the best way to maximize society’s welfare byefficiently coordinating inputs to produce the most output?Or are they window dressing concealing the exploitation of labor? An Argentinean professor, Ernesto Gantman surveys two centuriesof American management theory to argue that ideology trumpsscience. (Though the book purports to be a study of managementideology generally, it is almost exclusively about the UnitedStates.) Gantman quickly     

Anonymity and whistleblowing

This paper examines the moral arguments for and against employees' blowing the whistle on illegal or immoral actions of their employers. It asks whether such professional dissidents are justified in disclosing wrongdoing by others while concealing their own identity. Part I examines the concept of anonymity, distinguishing it from two similar concepts — secrecy and privacy. Part II analyzes the concept of whistleblowing using recent definitions by Bok, Bowie and De George. Various arguments against anonymous whistleblowing are identified and evaluated. The author concludes with a defense of the practice in terms of social benefits — primarily the redressing of wrongdoing.     

A Combination of Self-Reported Data and Social-Related Neural Measures Forecasts Viral Marketing Success on Social Media

Consumers often share product-related content (e.g., advertising), and highly shared advertising has a huge impact on consumer behavior. Despite its apparent effectiveness, prediction of whether such advertising will be highly shared is a poorly understood area of marketing. Advances in brain imaging techniques may allow researchers to forecast aggregate consumer behavior beyond subjective reports. Using neuroimaging techniques, previous research has established models showing that expectations of self-related outcomes (potential for self-enhancement) and the social impact of sharing (potential for social approval) contribute to the likelihood of users sharing non-commercial static content (i.e., text-based health news). However, whether this finding can be applied to forecasting the virality of dynamic commercial stimuli, which is more relevant to interactive marketing (i.e., video ads), remains unknown. Combining brain imaging techniques, cross-validation methods, and real-world data regarding sharing on social media, the present study investigated whether brain data can be used to forecast the viral marketing success of video ads. We used neuroimaging (functional magnetic resonance imaging: fMRI) to measure neural activity during three sets of theory-driven neural measures implicated in value, self, and social (mentalizing) processes while 40 participants viewed video ads that brands had posted on Facebook. Contrary to previous findings regarding value-related virality in non-commercial static content, our results indicate that social-related neural activity contributes significantly to forecasting the virality of dynamic marketing-related content. The model that included both social-related neural measures and subjective intentions to share forecasted viral marketing success better than the model that included only social-related neural measures. The model that included only subjective intention to share did not forecast viral marketing success. Overall, these findings provide a novel connection between neurophysiological measures and real-world dynamic commercial content. Contrary to previous neuroforecasting findings, social-related but not value-related neural measures can significantly improve our ability to predict market-level sharing of video ads.     

Acceptability and Ethics of Product Placement in Sport Video Games

Product placement in sport video games is an emerging area of marketing and advertising communication, but it also raises controversial ethical issues. In order to investigate these issues from a consumer perspective, this study examines the perceptions of the acceptability of product placement in sport video games (SVGs). Data were gathered from 253 sport video gamers using an online survey. The results indicate that while sport video gamers generally have favorable attitudes toward product placement in sport video games, ethically-charged products such as alcohol, cigarettes, and guns are perceived as less acceptable than other products. Individual differences among sport video gamers are found based on their related attitudes, hours of playing sport video games, and gender. Also, sport video gamers who have favorable attitudes toward product placement, in general, are more likely to intend to purchase a product or brand which may be placed in sport video games.     

超混沌视频加密系统的FPGA设计与实现

随着多媒体技术的不断发展，视频信息安全愈发受到人们的关注。为解决视频信息的安全问题，提出了一种基于现场可编程门阵列(FPGA)技术的超混沌视频加密方法。在加密过程中，一方面FPGA控制数字摄像头实现实时彩色视频信息的采集；另一方面，在计算机密钥指令下，利用FPGA使超混沌系统产生有效的伪随机序列，实现对所采集视频信息的数据和地址的双重超混沌加密。给出了具体的超混沌视频加密算法和设计流程以及FPGA实现结果。安全性分析表明，明密文主观视觉对比显著不同，密钥空间大，视频图像统计特性的相关性弱，说明基于FPGA的超混沌视频加密系统加密效果良好可靠。     

GRAPHICAL MODELS FOR CORRELATED DEFAULTS

A simple graphical model for correlated defaults is proposed, with explicit formulas for the loss distribution. Algebraic geometry techniques are employed to show that this model is well posed for default dependence: it represents any given marginal distribution for single firms and pairwise correlation matrix. These techniques also provide a calibration algorithm based on maximum likelihood estimation. Finally, the model is compared with standard normal copula model in terms of tails of the loss distribution and implied correlation smile.