Developmental modes of the Neoproterozoic-Lower Paleozoic marine hydrocarbon source rocks in China

Based on the researches on rock type, the mode of occurrence, diagnostic minerals and creatures, the sedimentary geochemistry and organic facies of Chinese marine source rocks from wells and outcrops, and on the research findings of developmental modes of foreign marine source rock, the authors consider that it is impossible to objectively make clear the formation mechanism of hydrocarbon source rock with high organic matter abundance by either single mode of preservation or high organic matter productivity. According to the Chinese geological features, the formation mechanism of the Neoproterozoic-Lower Paleozoic marine source rock is generalized into four modes, namely, thermal water activity-upwelling flow-anoxic; carbonate gentle slope-upwelling flow; xerothermic climate-brine euxinic milieu; and humid climate-retained euxinic milieu; as the Lower Cambrian undercompensation basin organic facies （the Tarim Basin, South China and southwestern margin of North China）, carbonate gentle lime mud bound organic facies （the Upper Ordovician in Tazhong region of the Tarim Basin and the Lower Silurian in the Upper Yangtze Platform）, the Middle Cambrian evaporation laggon organic facies （the Tarim Basin and the Upper Yangtze Platform）, enclosed undercompensation terrigenous bay organic facies （the Middle-Upper Ordovician in the west of the Tarim Basin, the Lower Silurian Long- maxi Formation in the Upper Yangtze platform）. Chinese marine sedimentations with lower organic matter abundance are generalized into two modes of consumption-dilution mode of open epicontinental sea and depletion-dilution mode of supercompensation basin.     

An efficient algorithm to generate candidates in discovering frequent episodes

0 IntroductionData mining is widely used in many research fieldssuch as decision supporting systems[1], bio-informationanalysis[2]and knowledge engineering[3-5]. Most data col-lected from scientific experiments or telecommunicationnetworks have inherent sequential nature inthemand canthus be abstractly viewed as a sequence of events . Onebasic problemin miningsuchevent sequencesis discoveryof recurrent combinations of events , which are calledepisodes. Once frequent episodes are discovered,rul…     

基于DELPHI5的高校选修课管理系统的设计与实现

主要介绍高校选修课管理系统的设计思想，并着重分析和讨论了后台数据库的设计方法和原理，最后讨论了运用Delphi5开发该系统的整个过程。     

确定事件视界的新公式

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基于VHDL的时延Petri网仿真

在实时控制系统中,常常需要使用时延Petri网对系统进行建模、分析.作者提出了用硬件描述语言对时延Petri网进行描述,用VHDL语言中的wait语句和after语句来模拟Petri网中的时延特性,通过EDA软件工具对时延Petri网进行仿真,获得系统的动态性能,这为时延Petri网的分析提供了新的路径,并为控制系统的设计和电路实现奠定了基础.文章最后给出了一个实例,仿真波形表明了这种方法的正确性.     

临近空间单粒子效应的数值模型和电路模拟

针对临近空间单粒子效应进行了数值模型仿真和特征尺寸为0.1 μm的反相器电路的脉冲注入模拟研究。数值仿真结果表明器件临界电荷随着工作电压的降低而减小,敏感横截面随着临界电荷的降低而逐渐增大。临近空间微电子器件的单粒子翻转概率随敏感横截面增大而上升,但其又随临近空间高度的增加而下降。此外,利用SPICE软件脉冲注入模拟观察到了反相器电路的单粒子翻转现象。所得结论有助于深入研究临近空间的单粒子效应并为器件抗辐射加固提供了理论依据。     

面向多场景的环境异常声音识别

随着人工智能和大数据的发展,各种场景中对异常声音识别的需求日益增长,基于人工智能的声音识别技术正在兴起并被高度重视。现行主流的异常声音识别算法多为浅层机器学习模型结构,对异常声音的识别率较低,且识别的声音类型单一。为了有效识别异常声音,提出一种基于梅尔频率倒谱系数(Mel-frequency cepstral coefficient, MFCC)和卷积神经网络(convolution neural network, CNN)的环境声音识别算法,对各类异常声音进行采集和有效识别,并及时反馈声音状态,为各类声识别应用场景提供精细化管理技术手段。结果表明：提出的算法对5类场景下环境异常声音的识别率得到极大提高,适用于更广泛的声学场景,具有明显的优势。     

在网络监控软件中利用钩子函数监控系统

以教学网络监控软件为例，介绍了网络监控软件设计中利用钩子函数监控系统或事件进程的编程方法和技巧。     

基于FIFA的主题相似性计算模型

针对主题检测和追踪的第五个技术任务连接分析,提出了一种事件主题相似性分析技术·通过引入领域知识库,将基于词汇的分析技术提升到领域知识计算层面·当输入不同两个文档时,采用该分析技术进行识别文档内容所涉及到的事件主题是否一致·首先采用FIFA模型进行内容主题识别,然后采用LDM模型进行事件主题相似性计算分析·实验结果显示主题相似性计算正确率为64%,召回率为69%·     

失效树中门重要度的算法分析

把失效树中基本事件级的重要度推广到门事件级的重要度,分析了怎样用通常的失效树算法计算门重要度,给出了计算门可靠性重要度的计算公式。并通过例子来比较改进前后的算法,说明该算法的简单实用和精确性,及其易于在计算机上实现。