复射线展开法分析圆柱面对平面波散射的精度问题

讨论了用复射线展开法计算圆柱面对入射平面波散射时的计算误差特性，提出了控制其计算精度的复射线展开参数选择方法，证实了通过恰当选择展开参数可以有效地提升计算精度、实现误差控制。     

防汛应用系统整合与完善的探讨

随着黄委“数字黄河”工程建设的开展以及计算机广域网络的扩大、开发技术运行方式的变化和用户的迅速增长，需要将防汛系统资源进行综合利用，满足业务生产需求。“数字黄河”工程规划完成后．我们根据规划首先选择防汛应用系统为突破口，以防汛会商综合信息支持为目标，将单个的防汛应用系统进行规范、完善，最终建成防汛信息综合平台．在平台的基础上实现现有应用系统和新开发系统的集成。     

热流量计的原理

根据工业及家庭供暖的要求，设计并研制成一种新型的热流量计，它采用方便而新颖的采集信息方式，并使用CPU精确实时的进行控制和运算，保证了热流量计的精确、实时和“分户计量”。     

CSAa黏弹性表面活性剂压裂液的研制

用化学试荆长链烷基季铵盐CSAa制备了两种VES压裂液并研究了相关性能，其组成（CSAa／水杨酸钠／氯化钾／正丁醇，以g／dL为单位）如下：1．0／0．3／1．0／0．2；2．0／0．6／0．5／0．1。在耐温性测定中，1．0g／dL CSAa压裂液的黏度由30℃时的75．0mPa·s降至50℃时的37．5mPa·s；2．0g／dL CSAa压裂液的黏度由40℃时的225mPa·s逐渐降至55℃时的110mPa·s，再降至60℃时的65．0mPa·s.在1701／s剪切2h后，剪切温度为42℃时1．0g／dL CSAa压裂液的黏度下降26％，剪切温度为53℃时2．0g／dL CSAa压裂液黏度下降9％。陶粒沉降速度测定结果表明，40℃、42℃时的1．0g／dL CSAa压裂液（黏度分别为60和54mPa·s）和50℃、53℃时的2．0g／dLCSAa压裂液（黏度分别为180和145mPa·s）携砂性能良好，而45℃、50℃时的1．0g／dLCSAa压裂液和55℃、60℃时的2．0g／dL CSAa压裂液，携砂性能则较差或很差。认为VES压裂液的携砂性能来源于棒状胶束网络，并不全由压裂液黏度决定。还考察了VES压裂液的破胶性能。图1表2参5。     

构造性神经网络在测井岩性识别中的应用

测井岩性识别是石油勘探中十分重要的基础工作,准确的岩性识别结果可以为勘探和开发提供可靠的依据。人工神经网络方法可对复杂的高维数据进行非线性映射,在模式识别领域得到越来越广泛的应用。针对传统的BP神经网络算法存在收敛速度慢、隐层数以及隐层节点数难以确定等缺点,研究了一种构造性神经网络学习算法---级联算法（Cascade Correlation Algorithm,简称CC算法）及其在石油工程中的应用。采用该算法对甘肃镇原-泾川地区进行岩性识别研究,通过与BP神经网络的识别结果进行比较,体现出构造性神经网络的优越性。     

A hierarchical model for structure learning based on the physiological characteristics of neurons

Almost all applications of Artificial Neural Networks (ANNs) depend mainly on their memory ability. The characteristics of typical ANN models are fixed connections, with evolved weights, globalized representations, and globalized optimizations, all based on a mathematical approach. This makes those models to be deficient in robustness, efficiency of learning, capacity, anti-jamming between training sets, and correlativity of samples, etc. In this paper, we attempt to address these problems by adopting the characteristics of biological neurons in morphology and signal processing. A hierarchical neural network was designed and realized to implement structure learning and representations based on connected structures. The basic characteristics of this model are localized and random connections, field limitations of neuron fan-in and fan-out, dynamic behavior of neurons, and samples represented through different sub-circuits of neurons specialized into different response patterns. At the end of this paper, some important aspects of error correction, capacity, learning efficiency, and soundness of structural representation are analyzed theoretically. This paper has demonstrated the feasibility and advantages of structure learning and representation. This model can serve as a fundamental element of cognitive systems such as perception and associative memory.     

浅谈火灾调查的边缘化趋势

从火灾调查实际工作状态出发,提出火灾调查存在地位边缘化的趋势,并在分析边缘化趋势原因的基础上提出了相应的对策,供火灾调查同仁探讨。     

调节剂对烷基水杨醛肟萃取铜铁的影响

烷基水杨醛肟虽然是一种高选择性的铜萃取剂，但单独使用时，萃取相易出现沉淀；反萃时，再生有机相出现乳化物，而且两相分离时间较长．将月桂醇、仲辛醇、壬基酚三种调节剂分别加入到萃取剂中，研究其对烷基水杨醛肟萃取及反萃行为的影响．结果表明，三种调节剂均可以解决上述问题，只是使萃取能力略有降低；壬基酚加入到烷基水杨醛肟中有助于提高铜铁分离系数，可达647．     

低技术与唯美的对话

当简约、科技、禅意、高造价成为时尚流行，反尔让我们无所适从的时候，是否该静下来想一想，我们真的需要什么？要表达什么样的情感？什么是表现的合理性？     

Two-photon pumping of a random laser

Random lasing originates from pumping disordered materials by high-intensity and high-frequency light. The performance of random lasers is restricted due to the absorption of pumping light within the interfacial layer. The lifetime of optical modes there is short due to the emission of photons to the outside, and it is hard to pump them sufficiently for lasing. The opportunity to excite the modes far from the material surface using two-photon absorption is investigated within the diffusion model. The authors show that lasing requires lower pump power for the two-photon pumping mechanism under conditions of negligible absorption of the emitted light. Experimental implications and restrictions are discussed.