八面河油田近年注水开发工作的实践与认识

八面河油田油藏类型多样,开发方式多样,其中注水开发储量占全油田动用储量的61%。近年来,为改善注水开发油藏开采效果,保持产量稳定,油田针对各区块注水开发中存在的问题,在面4区面5块、广北8块、面14区沙三上采取了完善注采井网,注水井注氮调剖,水井动态调水以及改善水质等方面的工作,初步取得了较好的效果。     

底部局部辐射加热窑炉内温度场数值模拟

提出了底部局部辐射加窑炉内温度场数值分析的控制方程组，分别对平面加热及半圆柱形加热面两种算例进行了数值计算，得了影响烤花烤窑炉内温度场均匀性的主要因素和有加热面发射率，加热面形状，加热面相对位置及窑炉墙体热阻和墙体与外界的换热热阻。     

徐州民间虎纹样文化探析

虎纹样文化作为民间传统文化中的重要组成部分,历史积淀深厚。徐州民间虎纹样形拙神真、粗放质朴,反映了当地的民俗民风、人文历史。文章从徐州民间虎纹样的表现载体入手,对其文化内涵、审美特征进行分析论述。这将对今后虎纹样的应用、研究以及保护都起到一定的促进作用。     

Location of steel reinforcement in concrete using ground penetrating radar and neural networks

Ground-penetrating radar is becoming increasingly popular for use as a non-destructive assessment method for investigating reinforced concrete structures. The amount of data collected however can be very large and take a significant level of subjective experience to interpret. This study focuses upon the use of a neural network approach to automate and facilitate the post-processing of ground penetrating radar results. The radar data is reduced to a simplified data set by using an edge detection routine. Signal reflections from reinforcing bars displaying a hyperbolic image format are detected using a multi-layer perceptron (MLP) network with a single hidden layer containing 8 nodes to recognise a simplified hyperbolic shape. Training and testing of the network was carried out making use of an emulsion analogue tank, simulating the properties of concrete, and using real concrete specimens. The results showed that the use of a MLP neural network approach could be quite effective in automating the identification and location of embedded steel reinforcing bars from a radar investigation. Accurate estimation of depth, or cover, requires a reliable knowledge of the dielectric properties of the concrete, and recent work using a specially-developed wideband horn antenna for direct determination of in situ properties is also outlined.     

用于树脂砂造型的木模结构设计及制作工艺

从木模起模和木模强度等方面入手，阐述了树脂砂木模结构的设计、木模结构简化的方法。提出了木模的选材及制作工艺     

国内外消失模铸造技术研究新进展

介绍了当前消失模铸造技术的两大研究热点，即：铝镁合金消失模铸造及其缺陷形成机理的研究，模样制作过程，质量评定方法和白区制模过程的研究．这些研究表明：模样表面泡沫塑料珠粒的融合程度高、内部珠粒融合程度低、密度均匀、表面光滑的模样适合生产高质量消失模铸件。此外，X光透射、扫描电子显微镜和计算机数值模拟技术已开始用于对珠粒充型、发泡过程及其最终所得到的模样质量的评定和预测。     

模式识别方法研究影响转炉炼钢脱磷的因素

利用模式识别方法中的偏最小二乘法对转炉炼钢的磷分配比及主要影响因素进行了分析 ,用二维分类图给出了优化趋势 ,结果符合一般脱磷理论和实际 ,可以作为冶炼的参考。     

基于小波包和支持向量机的滚动轴承故障模式识别

为了解决对故障轴承的特征提取和故障特征准确分类问题,提出了应用小波包变换和支持向量机相结合进行滚动轴承故障诊断的方法.小波包变换具有良好的时-频局部化特征,非常适于对瞬态或时变信号进行特征提取.而支持向量机可完成模式识别和非线性回归.利用上述原理根据轴承振动信号的频域变化特征,采用小波包变换对其提取频域能量特征向量,然后利用建立的支持向量机多故障分类器完成滚动轴承故障模式的识别.试验结果表明,支持向量机可以有效、准确地识别轴承的故障模式,为轴承故障诊断向智能化发展提供了新的途径.     

高温合金小直径棒材超声检测信号的余弦变换分析及识别

将离散余弦变换（DCT）用于直径为φ26mm的变形高温合金棒材超声检测信号的特征分析，提取缺陷回波的离散余弦变换幅度谱作为特征矢量，并对提取的特征利用人工神经网络进行训练和分类，实验和距离可分性测度计算结果表明，与离散傅里叶变换提取的谱类别特征相比，离散余弦变换使缺陷信号的谱类别特征有明显增强。     

Computing Minimum Area Homologies

Calculating and categorizing the similarity of curves is a fundamental problem which has generated much recent interest. However, to date there are no implementations of these algorithms for curves on surfaces with provable guarantees on the quality of the measure. In this paper, we present a similarity measure for any two cycles that are homologous, where we calculate the minimum area of any homology (or connected bounding chain) between the two cycles. The minimum area homology exists for broader classes of cycles than previous measures which are based on homotopy. It is also much easier to compute than previously defined measures, yielding an efficient implementation that is based on linear algebra tools. We demonstrate our algorithm on a range of inputs, showing examples which highlight the feasibility of this similarity measure.