Qt在EQT格式地震日志转换中的应用

主要讨论了基于Qt的地震日志格式转换软件的设计及其实现方法。     

基于STM32的多相LED穹形光源控制系统设计

针对工业视觉检测中对光源的照射角度、光源亮度、颜色等调节要求,设计了一种基于STM32的多相LED穹形光源控制系统,给出了系统实现方案及各模块具体实现,实现了光源参数的连续可调控制。     

南水北调中线总干渠水质变化趋势及污染源分析

为了解和掌握南水北调中线总干渠水质状况,依据总干渠26个常规水质断面监测数据,分析了总干渠沿程水质变化趋势。结果表明,主要污染指标(CODMn、氨氮、总氮和总磷)呈现出沿程增加趋势。根据影响总干渠水质的潜在影响因素,分析了7类污染源(直接水污染、大气粉尘沉降、桥面雨水污染、底泥污染、周边垃圾场淋溶液污染、雨洪污染、受污染地下水)及其可能对干渠水质产生的影响程度,并针对不同污染源提出了防控对策,供管理部门决策参考。     

Comparing techniques for authorship attribution of source code

Attributing authorship of documents with unknown creators has been studied extensively for natural language text such as essays and literature, but less so for non‐natural languages such as computer source code. Previous attempts at attributing authorship of source code can be categorised by two attributes: the software features used for the classification, either strings of n tokens/bytes (n‐grams) or software metrics; and the classification technique that exploits those features, either information retrieval ranking or machine learning. The results of existing studies, however, are not directly comparable as all use different test beds and evaluation methodologies, making it difficult to assess which approach is superior. This paper summarises all previous techniques to source code authorship attribution, implements feature sets that are motivated by the literature, and applies information retrieval ranking methods or machine classifiers for each approach. Importantly, all approaches are tested on identical collections from varying programming languages and author types. Our conclusions are as follows: (i) ranking and machine classifier approaches are around 90% and 85% accurate, respectively, for a one‐in‐10 classification problem; (ii) the byte‐level n‐gram approach is best used with different parameters to those previously published; (iii) neural networks and support vector machines were found to be the most accurate machine classifiers of the eight evaluated; (iv) use of n‐gram features in combination with machine classifiers shows promise, but there are scalability problems that still must be overcome; and (v) approaches based on information retrieval techniques are currently more accurate than approaches based on machine learning. Copyright © 2012 John Wiley & Sons, Ltd.     

近断层脉冲型地震动作用下面板堆石坝的动力响应

越来越多的高土石坝正在西部地区建设或规划中,其中许多位于发震断裂带附近,遭遇近场强震的概率随着大坝数量的增加而增加,近断层脉冲型地震动作用下大坝地震响应特性亟待研究。本文选取10组台湾集集地震实测加速度时程,结合200 m级的面板堆石坝开展动力有限元分析,研究脉冲和非脉冲地震动作用对面板堆石坝的加速度、水平位移以及面板顺坡向应力的影响。结果表明,与非脉冲型地震动相比,脉冲型地震动对大坝堆石体的水平位移和面板顺坡向应力的影响较大,影响程度随着PGV/PGA(地面峰值速度/地面峰值加速度)的增大而增大。因此,在高地震区修建高土石坝时应对脉冲型地震进行专门研究,综合评价大坝的地震安全性和极限抗震能力。     

A comprehensive approach to evaluating watershed models for predicting river flow regimes critical to downstream ecosystem services

Selection of strategies that help reduce riverine inputs requires numerical models that accurately quantify hydrologic processes. While numerous models exist, information on how to evaluate and select the most robust models is limited. Toward this end, we developed a comprehensive approach that helps evaluate watershed models in their ability to simulate flow regimes critical to downstream ecosystem services. We demonstrated the method using the Soil and Water Assessment Tool (SWAT), the Hydrological Simulation Program–FORTRAN (HSPF) model, and Distributed Large Basin Runoff Model (DLBRM) applied to the Maumee River Basin (USA). The approach helped in identifying that each model simulated flows within acceptable ranges. However, each was limited in its ability to simulate flows triggered by extreme weather events, owing to algorithms not being optimized for such events and mismatched physiographic watershed conditions. Ultimately, we found HSPF to best predict river flow, whereas SWAT offered the most flexibility for evaluating agricultural management practices.     

SMS与飞机维修单位安全管理机制建设

SMS的核心理念是运用安全管理模式建立自我监督、自我完善、自我激励的安全机制,这种特性决定了按照传统自上而下的推进方式不能完全发挥出SMS“自系统”的优势,达到系统控制风险的目的。     

税收电子数据分析在煤炭企业税源管理工作中的研究与实践

随着信息技术的不断发展,利用先进技术成果挖掘和提炼税收电子数据信息,深化数据分析,为税源管理特别是重点税源管理工作服务,已经成为了现代税收发展的潮流。它是信息管税、风险控制的重要组成部分,也是各级税务机关、专家和学者在税源管理方面面临的重要课题之一。以朔州市国家税务局煤炭企业税收管理信息系统建设为背景,研究税收数据分析在税源管理工作中作用和意义。     

SSI:一种IPv6/IPv4多址同源识别模型

IPv6/IPv4共存环境下多址同源识别是共存网络管理与拓扑发现的一个关键问题。现有研究主要集中于子网内部的双栈发现及单一IP协议栈中的别名解析,难以识别远程IPv6/IPv4共存网络中的多址同源。通过分析同源地址间的本质联系,提出一种IPv6/IPv4多址同源识别模型(SSI),该模型综合利用特殊地址格式匹配、TCP时钟指纹比对和上层协议短时致瘫等多种方式来提高同源地址的识别能力。实验结果表明,上述方法均可有效识别IPv6/IPv4多址同源;SSI模型具有较理想的识别率和正确率。     

全变分原理在地震数据去噪中的应用

地震图像资料的解释和后续处理中的重点环节是如何有效地降除地震资料记录中的噪声。高效的地震资料降噪算法在较好降除噪声的同时可以将图像的边缘信息予以较好的保留。论文首先全面地介绍了全变分去噪模型,同时详细介绍了参数的选取方法,最后进行实验和模型验证。结合小波阈值降噪方法进行比较,实验结果表明全变分降噪方法在很好地消除地震信号图像中的噪声,大面积提高信号剖面质量的同时,可以有效提高地震资料的信噪比。