论创造性思维的时效性

创造性思维的时效是指创造性思维在一定的时间内所取得的思维成果。在追求创造性思维科学性的同时 ,力求其高效率是创造性思维的目的。我们要运用先进的思维工具 ,采用科学的思维方法 ,尽量减少创造性思维中的挫折和曲折 ,力戒不必要思维时间的浪费 ,以提高创造性思维的效率     

论数字化校园建设的要点和策略

“数字化校园”是基于现代教育技术的高速发展 ,对传统教育进行全新改革后形成的 ,符合建构主义要求的全新教育环境 ,要求从教育理念、教育体制、教学方式、教学内容等多方面进行全面的革新和改造。综合提出一种“数字化校园”的概念 ,对其组成、特征、要点和建设策略作了初步的探讨。     

基于TMS320C40的FFT算法改进及应用

讨论了充分利用C4 0的硬件并行结构进行实数FFT的并行算法 ,并在地震勘探信号处理中得以应用     

Simple detection of outlying short time series

Sets of relatively short time series arise in many situations. One aspect of their analysis may be the detection of outlying series. We examine the performance of standard normal outlier tests applied to the means, or to simple functions of the means, of AR(1) series, not necessarily of equal lengths. Although unequal lengths of series implies that the means have unequal variances, that are only known approximately, it is shown that nominal significance levels hold good under most circumstances. Thus a standard outlier test can usefully be applied, avoiding the complication of estimating the time series' parameters. The test's power is affected by unequal lengths, being higher when the slippage occurs in one of the longer series     

半脆弱印刷数字有意义水印算法研究

数字水印技术是在数字作品中嵌入不明显的记号。该文分析了印刷品制作中包含数模-模数转换过程的特性,与数字水印技术相结合,将纯数字域的防伪手段应用到模拟领域中的印刷品上。将印刷品扫描打印过程作为失真信道进行建模分析,并在算法中加入预失真;比较了数字水印各算法,结合印刷品的特性采用并改进特征值分解的方法,嵌入和检测有意义水印,通过该水印对二次扫描打印印刷品脆弱不可检测,来达到防伪的要求。该算法相对于空域算法和其他变换域算法有复杂度低、检测准确度高的优势。     

马克思的劳动价值论及在新经济时代的发展

马克思的劳动价值理论不仅是科学的,而且避免了主流经济学关于供求变化与价格变化相互关系的混乱状况。在新经济时代坚持和发展马克思劳动价值理论,必须在正确理解马克思劳动价值理论的基础上结合新经济时代的实际进行理论创新。     

浅论缩短反馈时间在中学英语写作教学中的作用

本文通过调查一所普通中学学生对教师英语作文反馈时间的偏好并进行实验研究,利用统计学的描述性统计,独立/相关样本T检验分析方法,作者发现缩短反馈时间确实能够提高学生的英语写作水平,并结合其对教学的启示进行了讨论。     

无限家园--读廖志理的组诗《来自生活最初的激情》

文章通过解读组诗文本,抓住家园情结这一内核,较为翔实地剖析了诗人对农耕民族的精神历程与诗意关怀,并归纳了三个艺术特点即忧患精神的张扬、时空转换的把握和整体象征的艺术自觉.     

Modelling heterogeneous space–time occurrences of earthquakes and its residual analysis

Summary. Earthquake intensities are modelled as a function of previous activity whose specific form is based on established empirical laws in seismology, but whose parameter values can vary from place to place. This model is used for characterizing regional features of seismic activities in and around Japan, and also for exploring regions where the actual seismicity rate systematically deviates from that of the modelled rate.     

Data tilting for time series

Summary. We develop a general methodology for tilting time series data. Attention is focused on a large class of regression problems, where errors are expressed through autoregressive processes. The class has a range of important applications and in the context of our work may be used to illustrate the application of tilting methods to interval estimation in regression, robust statistical inference and estimation subject to constraints. The method can be viewed as 'empirical likelihood with nuisance parameters'.