极光光谱学发展史和现状

本文阐述了极光光谱学的发展历史和现状,并进一步说明极光绿线的解释对极光光谱学发展的贡献,以及激发过程的深入研究会出现的新问题.     

SIR—1型短红外发射理疗器对脑血管的作用效应

以６０名大学生和２１例头晕、头痛患者为实验对象，通过实验前与实验后的脑血流图检测资料的分析，对比，验证ＳＩＲ－１型短红外发射理疗器对脑血管的作用效应。实验者经本理疗器对头部作用２０ｍｉｎ后，可出现脑血管扩张、紧张度降低、降力减小、流入时间缩短、流入容积速度变大等现象，对脑血管起 着良好作用。     

矿岩红外发射光谱的测定及其在石油测井中的可能应用

描述了物体红外辐射的基本原理、特性以及矿岩红外发射光谱的测定，并给出了在一定温度下，对不同矿岩样品发射光谱测定的结果；讨论了红外辐射测温以及热成像系统在石油勘探中的可能应用。     

红透山铜矿矿岩破坏过程中声发射实验研究

通过对红透山铜矿矿岩学轴压缩状态下声发射实验,分析了各种岩石产生声发射的机制及岩体破坏机制。实验表明,声发射的显著增加都发生在极限应力的95％,因此,声发射显著增加作为岩体破坏预报点是可行的。     

超微粒光电转换薄膜的实验研究

目前世界上通用的激光脉冲检测的光电发射材料基本上有两类。一类是含有碱金属的光电发射薄膜,如:Ag-O-Cs、Cs_3Sb、[Cs]Na_2KSb等;Gex等的论文谈到半透明的Ag-O-Cs光电阴极是唯一可用于研究宽度不到10ps、波长为1.06μm的激光脉冲的光电阴极。另一类是纯金属的薄膜,如Au、Ag等。前一类光电发射薄膜虽然光电灵敏度较高,但不能在温度150℃以上的环境中工作,也不能暴露于大气中,如暴露大气,则光电薄膜就会报废。这些不足给使用造成极大的困难,甚至某些场合无法使用。而纯金属的Au、Ag薄膜虽然可以暴露大气,也     

探月回顾

1958年-1976年美国与前苏联一共发射了83个无人月球探测器。 1969年“阿波罗11号”实现了人类登月之梦，在月球探测中取得最辉煌成果。这一年，先后有12名宇航员踏上月球，并向地面带回440kg的月岩样品。     

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。