实时监控与发射决策专家系统推理机设计

实时监控与发射决策专家系统要求应能根据监控信息，不断进行知识推理，多层次判断直到最终导弹发射决策。本文对推理流程设计原则、控制策略、推理机的运行过程等进行了介绍。本推理机将面向对象方法和问题求解的黑板模型思想有机地结合在一起，将知识库分层模块化，极大提高了推理效率。该推理机具有结构清晰、条理分明、维护方便等特点。     

Blue emission from hydrogen-containing a-Si：H／SiO2 multilayers and the investigation of its mechanism

A series of hydrogen-containing a-Si:H/SiO2 multilayers with different a-Si:H sublayer thickness were fabricated by layer-by-layer deposition and in situ plasma oxidation in a plasma-enhanced chemical vapor deposition system (PECVD). Optical induced blue emission from the samples was observed by the naked eye at room temperature, which has never been reported in the luminescence study of Si/SiO2 multilayers up to now. Both the photoluminescence (PL) peak and the absorption edge show a blue shift as the a-Si:H sublayer thickness decreases. The origin of the blue emission and the effect of hydrogen are discussed.     

Study of CNG／diesel dual fuel engine＇s emissions by means of RBF neural network

Great efforts have been made to resolve the serious environmental pollution and inevitable declining of energy resources. A review of Chinese fuel reserves and engine technology showed that compressed natural gas (CNG)/diesel dual fuel engine (DFE) was one of the best solutions for the above problems at present. In order to study and improve the emission performance of CNG/diesel DFE, an emission model for DFE based on radial basis function (RBF) neural network was developed which was a black-box input-output training data model not require priori knowledge. The RBF centers and the connected weights could be selected automatically according to the distribution of the training data in input-output space and the given approximating error. Studies showed that the predicted results accorded well with the experimental data over a large range of operating conditions from low load to high load. The developed emissions model based on the RBF neural network could be used to successfully predict and optimize the emissions performance of DFE. And the effect of the DFE main performance parameters, such as rotation speed, load, pilot quantity and injection timing, were also predicted by means of this model. In resum6, an emission prediction model for CNG/diesel DFE based on RBF neural network was built for analyzing the effect of the main performance parameters on the CO, NOx emissions of DFE. The predicted results agreed quite well with the traditional emissions model, which indicated that the model had certain application value, although it still has some limitations, because of its high dependence on the quantity of the experimental sample data.     

GJC4／100型高低浓度甲烷传感器的研究

GJC4／100型高低浓度甲烷传感器是以高性能单片机为核心，以载体催化元件和热导元件为敏感元件来检测甲烷浓度的高精度、低功耗、高可靠性、智能型甲烷传感器，该传感器既可检测0～4％的低浓甲烷，又可检测4％～100％的高浓甲烷。已通过国家煤矿防爆产品安全质量检测检验中心进行的性能检验和防爆检验，取得了矿用安全标志准用证（MA认证），并在全国多家矿井推广应用。     

MIMO系统的发射天线选择及自适应链路实现

针对多输入多输出(MIMO)系统信道低秩引起信道容量下降的问题,提出了一种依据信道状态信息进行发射天线选择的算法,并给出了以此算法为基础的VBLAST自适应链路的实现方法。发射天线的选择依据权系数的范数大小进行,该方法可以有效降低天线选择的运算量。仿真结果表明,该方法的选择效果逼近最大容量法的选择效果。自适应链路实现方法将发射天线数的确定和天线选择并行进行,保证了在所处通信环境下达到最大的空间复用系数。     

E&AMode:一种新的基于引擎粒子系统的图像渲染模式

本文分析了图像引擎粒子系统的传统实现方法的优劣,提出了一种称为发射源&影响者(E&AMode)的图像渲染模式,该模式实现了粒子系统模拟效果的多样性,粒子运动状态的动态性和结构设计的灵活性.本文介绍了新模式的基本结构、算法思想和实现方法.试验结果表明,发射源&影响者模式能够实现粒子属性的灵活设置,粒子运动状态的动态改变和模拟效果的多样性.     

合肥光源满能量注入系统物理设计

描述了合肥光源储存环满能量注入系统的物理设计,包括设计目标、局部凸轨物理参数选择和系统性能模拟.解析分析和数值模拟结果表明,新设计注入系统具有非常高的注入效率,配合合肥自由电子激光实验装置中直线加速器改造,注入效率接近100%;同时,储存束流扰动很小,质心发射度增长满足束流稳定性要求,系统具有向准恒流运行模式发展的潜力.     

开采扰动区(EDZ)内层状围岩变尺度损伤及失稳预计实验及综合分析

在地下开采中常遇到层裂影响围岩力学行为,考虑到安全支护载荷及衍生动力灾害的可能性及工程应用,基于现场工程调查和室内多尺度煤岩动力破坏规律实验观察,建立了物理相似模型,完成了基于声发射(AE)的采空区覆岩变尺度损伤与断裂的模拟实验,对开采扰动区工作面周期来压(4个阶段)、围岩破裂与损伤的声发射特征参数(总事件与能率以及隐含的临界敏感性)等多元信息进行了综合比较,获得了老顶来压强度及支护阻力的定量化指标,这为工程现场EDZ内顶板大范围破断、围岩稳定性、破碎岩体失稳垮落等监测与控制提供依据。     

水对大理岩岩爆影响的模拟实验研究

通过双向加载模拟了大理岩含水与干燥情况下的岩爆,记录了声发射特性.分析了含水和干燥情况下岩爆现象、声发射特性及其原因.提出水对防治岩爆的积极作用和声发射预测岩爆的可行性.     

“嫦娥”舒袖 舞月长空 巡天、观地、测月

2013年12月2日,搭载嫦娥三号月球探测器的长征三号乙运载火箭在西昌卫星发射中心成功发射。在承载国人千年登月梦想的嫦娥三号奔赴月球之时,本刊专访了著名天体化学与地球化学家、中国月球探测工程首任首席科学家、被誉为"嫦娥之父"的欧阳自远院士。