沿空巷道底鼓破坏与支护技术研究

以3005综采工作面沿空掘巷为工作背景,在分析巷道底鼓破坏特征的基础上分析了巷道围岩强度及应力、护巷煤柱、支护方式对底鼓破坏的影响,给出了优化后的锚杆支护方案及底板处理方案.实践表明,巷道底鼓治理方案合理,巷道底鼓得到了有效改善,可以满足工作面安全生产要求.     

地面井抽采卸压瓦斯技术在新疆大倾角多煤组矿区的应用

针对新疆艾维尔沟矿区大倾角多煤组地表岩层移动与覆岩破坏特征,分析了大倾角多煤组地面井失稳机制,合理选择了地面井位置,优化了钻固井工艺及井身结构,并进行了适用性试验考察。试验工作面推过后井身结构稳定,套管基本未发生异常变形破坏,地面井抽采瓦斯持续稳定,可为新疆矿区大倾角多煤组地面井高效抽采瓦斯提供技术支撑及示范作用。     

岩体移动参数反分析的模糊数学方法

在采矿和岩土工程问题中,岩土移动变形及工程参数分析是该领域的重要工程研究课题.本文针对地下工程开挖而导致的岩体移动变形分析问题,根据模糊数学理论建立了模型,对工程参数确定给出了反分析方法.分析结果表明,理论结果与现场实测资料吻合较好,表明本文所建立的模糊数学模型适用于分析实际工程问题.     

青菜冲中磷矿压的分析与控制

对开阳磷矿马路坪矿段延伸开采工程中采用新型锚杆护顶房柱法出现的地压显现问题进行了详细的分析 ,并提出了地压控制措施。     

Volt–time characteristics of small airgaps with Hyperbolic model

An experimental investigation of the volt–time characteristics of small airgaps is performed. A Hyperbolic model is proposed to account for the results. The constants of the model have a direct bearing on parameters of the Disruptive Effect model for breakdown with non-standard Lightning Impulses (LIs). Analyses with uniform and non-uniform electrodes show their effect on the Hyperbolic model parameters.     

Massively parallel systolic‐array architectures for 2d IIR polyphase space–time plane‐wave beam digital filters

A systolic architecture has recently been proposed for implementing two‐dimensional infinite impulse response (IIR) space–time beam plane‐wave filters at a throughput of one‐frame‐per‐clock–cycle for such applications as real‐time broadband smart antennas. A novel polyphase systolic architecture is proposed here that further increases the throughput of these IIR beam filters, by a factor of M, to M‐frames‐per‐clock‐cycle, where M is the number of polyphases. The proposed method combines the polyphase approach, along with pipelining and look‐ahead optimization methods, to achieve frame sample frequencies that are several times higher than the clock‐cycle limit of the very large‐scale integration (VLSI) technology, thereby potentially allowing multi‐GHz frame sample frequencies using current custom VLSI circuits. The implementation of a field programmable gate array‐based real‐time prototype is described, tested and verified for the two‐phase case (M = 2) at a technology‐limited clock frequency of 50 MHz which corresponds to a throughput of 100 million‐frames‐per‐clock–cycle. Copyright © 2010 John Wiley & Sons, Ltd.     

Interleaved coding and sequential transmission scheme for packet‐level forward error correction over burst loss channels

Burst packet loss is a common problem over wired and wireless networks and leads to a significant reduction in the performance of packet‐level forward error correction (FEC) schemes used to recover packet losses during transmission. Traditional FEC interleaving methods adopt the sequential coding‐interleaved transmission (SCIT) process to encode the FEC packets sequentially and reorder the packet transmission sequence. Consequently, the burst loss effect can be mitigated at the expense of an increased end‐to‐end delay. Alternatively, the reversed interleaving scheme, namely, interleaved coding‐sequential transmission (ICST), performs FEC coding in an interleaved manner and transmits the packets sequentially based on their generation order in the application. In this study, the analytical FEC model is constructed to evaluate the performance of the SCIT and ICST schemes. From the analysis results, it can be observed that the interleaving delay of ICST FEC is reduced by transmitting the source packets immediately as they arrive from the application. Accordingly, an Enhanced ICST scheme is further proposed to trade the saved interleaving time for a greater interleaving capacity, and the corresponding packet loss rate can be minimized under a given delay constraint. The simulation results show that the Enhanced ICST scheme achieves a lower packet loss rate and a higher peak signal‐to‐noise‐ratio than the traditional SCIT and ICST schemes for video streaming applications.     

早期糖尿病风险预测模型的比较研究

糖尿病是一种比较常见的慢性疾病,并且存在较长的无症状阶段.本文主要介绍了机器学习中的5种分类算法,分别是朴素贝叶斯、支持向量机、逻辑回归、决策树和集成分类器Random Forest,并在Weka数据挖掘平台上,对糖尿病数据进行挖掘分析,根据混淆矩阵、Kappa系数、ROC曲线、均方根误差以及相对绝对误差这几个性能指标...     

基于Map/Reduce集群上的模式空间划分的序列模式挖掘

通过模式空间划分将基于Map/Reduce处理数据集与候选序列模式集的多对多的对应关系的问题转化为处理数据集与以频繁1-序列为基的各子模式空间的多对多的对应关系问题,大大缩小了中间结果键值对集合的规模,避免了由于组合爆炸导致的单一Map节点的瓶颈问题.通过三轮的Map/Reduce任务,实现了模式空间和过滤规则的建立,并在此基础上实现了各子模式空间上独立地进行序列模式的挖掘.通过充分利用整个模式空间的全局特征及各子模式空间的个性特征,设计了优化的非递归挖掘算法,减少了前缀投影库构造次数及对构造的投影库的扫描次数,从而提高了挖掘阶段的效率.