Reticulated Porous Multiphase Ceramics with Improved Compressive Strength and Fracture Toughness

A multiphase reticulated porous ceramic (RPC) as Si₃N₄–Al₂O₃–SiO₂ was fabricated by replication techniques. Proper volumes of additives and twice sinter- twice immerse process endow the RPC an excellent crack healing and submerging property. The compressive strength and fracture toughness improved owing to the crack bridging behavior. The existence of pores in struts in RPC blunt the crack tip and increased the external force needed to propagate the crack. The mechanisms play a beneficial role in enhancing the compressive strength and fracture strength. Si₃N₄ RPC with additives of 5%Al and 5% Al₂O₃ yielded the compressive strength of 9.8 MPa and fracture toughness of 0.3 MPa m^1/2.     

虚拟专用网的体系结构及实现

提出VPN接入设备的体系结构 ,包括系统的应用模型、层次划分和内部详细结构 ,阐述实现VPN的关键技术。     

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”。     

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。     

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.     

浅埋地下建筑风冷热泵空调系统传热模型与试验研究

本文在浅埋地下建筑风冷热泵空调系统围护结构传热动态模拟的基础上，通过对南京市太园地下旅社围护结构传热的实时测试，验证动态传热模型及计算机模拟方法的可行性和正确性，为浅埋地下建筑风冷热泵空调系统的装机容量、节能指标和设计计算提供一定的理论依据。     

新抗冲型ACR的合成与研究

采用种子乳液聚合法制备了含有PBA＼PMMA＼PS三种组分的丙烯酸酯类抗冲型改性剂ACR，在ACR的幔层结构中引入接枝剂甲基丙烯酸烯丙酯（ALMA）来完善幔层结构，从而实现核一壳之间良好的结合，用红外光谱（FTIR）和差示扫描量热法（DSC）对ACR的组成和结构进行表征。研究结果表明：由PBA＼PMMA＼PS三组分构成的ACR在抗冲击性能上要略优于由简单的PBA＼PMMA构成的ACR，苯乙烯单体（St）最多可以取代大约1／3壳层的甲基丙烯酸甲酯（MMA），甲基丙烯酸烯丙酯（ALMA）的引入对幔层结构的完善起了显著的作用。