Image processing using cellular neural networks based on multi-valued and universal binary neurons

Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an arbitrary mapping described by partially defined multiple-valued function on the single MVN. An arbitrary mapping described by partially defined or fully defined Boolean function, which can be non-threshold, may be implemented on the single UBN. The quickly converging learning algorithms exist for both types of neurons. Such features of the MVN and UBN may be used for solving the different problems. One of the most successful applications of the MVN and UBN is their usage as basic neurons in the Cellular Neural Networks (CNN). It opens the new effective opportunities in nonlinear image filtering and its applications to noise reduction, edge detection and solving of the super resolution problem. A number of experimental results are presented to illustrate the performance of the proposed algorithms.An erratum to this article can be found at     

Magnetic field dependence of shielding current density in Y-Ba-Cu-O rings at 77 K

A method for contactless measurement of the shielding critical current density and its dependence on the external magnetic field is described and analyzed. The obtained values are compared with those measured resistively on two different samples. It is shown that the shielding critical current densityJ _cs and the intergranular transport current densityJ _cr are identical if the measurement conditions are similar. A degradation ofJ _cs measured in the external field with AC ripple has been observed.     

钻井污水处理技术研究进展

通过分析钻井污水的来源及钻井污水共同的特点。阐述了国内外钻井污水处理的方法，即电絮凝浮选法、混凝－气浮－过滤法、机械过滤法和过滤－吸附－反渗透法和化学混凝－强化固液分离法以及絮凝剂作用机理，即压缩双电层机理、吸附电中和作用、吸附架桥作用和沉淀物网捕作用。提出要进一步开展絮凝机理研究，为今后研制性能更好的钻井污水处理剂新型产品提供理论和实验依据；絮凝剂要在防腐、杀菌等方面起一定作用，使絮凝剂产品多样化和多功能化，以提高絮凝效果；在优选絮凝剂产品的基础上，加强对絮凝处理工艺的研究，规范各种处理措施，将会对提高处理效果起到十分重要的作用。     

钻井液用BDY-1便携式堵漏仪

在堵漏过程中，对堵漏材料和堵漏浆配方的优选是决定堵漏成功的关键。为了能在现场对堵漏进行评价，研制出BDY－1便携式堵漏仪，该堵漏仪主要由不锈钢钢柱圈钢，压力表等加工而成，该堵漏仪体积小，重量轻，价格低，仅为国产堵漏仪的1／20。试验结果表明BDY－1便携式堵漏仪操作简便，可快速对堵漏材料进行评价并筛选出堵漏配方；数据重复性好，准确可靠，能达到进口或国产堵漏仪的水平；在模拟漏层选定后，可采用多套压力梯度，对堵漏浆封堵效果进行评价，在压力梯度选定后，可评价堵漏浆对不同类型漏层的封堵效果；如果扩大压力范围，可对封堵后的漏层进行破裂试验，从而确定合理的钻井施工参数；适用现场操作和应用。     

直接氯化法合成对硝基氯化苄

介绍了以对硝基甲苯和氯气为原料 ,在催化剂存在下合成对硝基氯化苄的方法 ,考察了催化剂种类、反应温度、溶剂配比等因素对反应的影响 ,优化的反应条件为 :对硝基甲苯用量 1 3 7g,对硝基甲苯 /邻二氯苯 (摩尔比 ) =1∶ 0 .6,w (偶氮二异丁腈 ) =0 .6% ,反应时间 3 h,反应温度 1 60℃ ,产物单程收率大于 65 % ;将反应混合物中未反应的原料分离后 ,以无水乙醇为溶剂结晶纯化 ,物料 /溶剂 (摩尔比 ) =1∶ 1 .5时晶体含量在 99.0 %以上 ,结晶收率达 67     

合成吡啶类化合物用催化剂的再生行为研究

对合成吡啶类化合物用的失活催化剂上的结焦物进行了元素分析 ,并着重对失活催化剂的再生行为进行了研究。得到了不同失活程度催化剂的再生曲线及相同失活程度、不同再生条件下的再生曲线。经回归求得了一简单的再生反应动力学经验方程式 ,其中反应级数为碳含量的 1.16 5级 ,活化能为 4 2 .5 72kJ/mol,计算值与实验值的平均相对误差为 6 .5 %。     

等偏移距自动初至静校正

茅金根 ,梁秀文 ,杨午阳 ,冯有奎 .等偏移距自动初至静校正 .石油地球物理勘探 ,2 0 0 2 ,37(5 ) :4 6 9～ 4 72　　本文提出一种自动计算静校正量的新方法。它首先在等偏移距道集内对相邻道的初至波采用高精度相关构建一个关于炮、检时差的超大矩阵方程 ,然后采用优化统计迭代算法求解炮点和检波点的静校正量 ,并用概率分布函数确定精确的炮、检静校正量 ,最后用误差校正函数消除炮、检静校正误差。实际资料处理结果表明 ,本方法自动、省时、精度高。     

台北凹陷小草湖次凹油气成藏特点及有利区带

吐哈盆地小草湖次凹发育多套烃源岩，油源条件好，油气资源丰富，油气勘探潜力巨大，中侏罗统发育三套储盖组合，凹陷内油气藏类型主要为侏罗系三间房组，七克台组的构造－岩性复合型和侏罗系西山窑组的深盆气藏，燕山运动末期是小草湖次凹一次重要的成藏期，古构造，古构造背景和构造－岩性复合型圈闭发育是小草湖次凹成藏主控因素，根据小草湖次凹成藏主控因素评价和优选有利区带，勘探工作取得了良好效果。     

Intelligent identification and control for autonomous guided vehicles using adaptive fuzzy-based algorithms

Fuzzy logic was first suggested as the mechanism by which humans drive cars. This paper addresses the use of fuzzy logic and algorithms towards the intelligent autonomous motion control of land vehicles. To cope with vehicle complexities, internal parametric changes, and with unpredictable environmental effects, the controllers that are presented, whilst heuristic in nature, are self-organizing or self-learning in that they generate automatically by observation an experiential rule base that models the vehicle, and via an appropriate performance index an optimal control rule base that is robust to large parametric changes. The methodology presented is applicable to any complex process which is too difficult to model or control using conventional methods, or which has relied on the experience of a human operator. An overview of fuzzy logic and static fuzzy logic control (akin to expert systems) is provided, together with illustrative examples.