Solar flare forecasting model supported with artificial neural network techniques

Nowadays operational models for solar activity forecasting are still based on the statistical relationship between solar activity and solar magnetic field evolution. In order to set up this relationship, many parameters have been proposed to be the measures. Conventional measures are based on the sunspot group classification which provides limited information from sunspots. For this reason, new measures based on solar magnetic field observations are proposed and a solar flare forecasting model supported with an artificial neural network is introduced. This model is equivalent to a person with a long period of solar flare forecasting experience.     

飞行中大气瞬时温度的获取

根据＊＊飞机上，ＣＷ－１００２和Ⅱ－５的试飞结果，对两种产品的性能做了对比分析；对飞行中大气温度的获取方法提出了的新意见。     

二值箝位电路的理论分析及仿真研究

在CCD焦面驱动电路设计中，经常要求产生在两个指定电平间振荡的信号，二值箝位电路以其简单的拓扑结构、稳定的性能表现而得到应用。尽管二值箝位电路的稳态输出仅受拓扑结构影响，而与初始条件无关，然而其暂态输出会随着初始条件以及拓扑结构的不同而有所差异，造成二值箝位电路设计及其应用的复杂性，文章深入地研究二值箝位电路不同的拓扑结构以及不同的输入条件对其输出的影响，给出了各种情况下的仿真结果，并针对仿真结果给出了定量和定性的分析。     

固体火箭的鲁棒自适应耗尽关机制导方法研究

针对固体火箭的耗尽关机制导问题,提出了一种基于闭路制导和零射程线相结合的自适应耗尽关机制导方法,该方法首先利用闭路制导技术,使待增速度快速收敛;随后基于零射程线理论,设计了对关机时间变化不敏感的零射程线能量耗散管理导引律和末速精调导引律,提高了耗尽关机方法在推力、秒耗、关机时间随机摄动条件下的鲁棒性和自适应性以及制导精度,从而拓展了耗尽关机显示制导方法的工程化应用.     

现代巡航导弹突防中的雷达极化技术

现代巡航导弹普遍采用雷达导引头进行末制导,雷达导引头在保证现代巡航导弹打击精度方面发挥着重要作用.在复杂电磁干扰环境条件下,雷达导引头的抗干扰能力和战场适应能力,在很大程度上决定着现代巡航导弹的杀伤力和战斗力.提高雷达导引头的抗干扰能力成为各军事强国提高精导武器作战效能的主要发展方向之一.从现代巡航导弹适应复杂战场的电磁干扰环境入手,指出雷达极化技术是提高巡航导弹的电子突防能力的重要技术手段.     

基于模糊机会约束规划的机会阵雷达方向图综合

针对机会阵雷达方向图综合的不确定问题,提出了一种基于模糊机会约束规划的方向图综合规划模型。该模型基于可信性理论,综合考虑天线单元分布的随机性以及激励状态的不确定性,将参与方向图综合时激励打开的天线数目看做一个梯形模糊变量,用以描述综合时的复杂不确定环境。随后,将规划模型转化为清晰等价形式,再结合遗传算法和灰关联综合评价法则设计了一种混合智能优化算法,用于求解该模型。以一维任意非均匀线阵为例,对主瓣宽度和最大副瓣电平进行了优化。仿真表明:优化后结果的可信性高于置信水平,验证了该算法的有效性。     

推广使用REM37BY电嘴

在我院使用的活塞发动机飞机中,点火系统故障率居高不下,其中又以电嘴积铅带来的发动机抖动故障居多。本文通过对比分析,以及实际监控使用的具体情况,证明了REM37BY电嘴能使这一故障大大减少,并且能节约成本,缩短工时,具有较大的推广价值。     

纳米硅薄膜的氧化特性

将ｎｃ－Ｓｉ：Ｈ薄膜进行等离子和高温氧化处理，测量了样品的氢，氧含量，Ｒａｍａｎ谱，红外吸收谱，光致发光（ＰＬ），结果表明两种氧化方式都将氧掺入薄膜中，但不同处理方式氧在薄膜中的键合形式不同Ｒａｍａｎ谱表明氧化处理对薄膜中晶粒大小及晶态比没有影响，用晶粒－表面模型对氧化引起的光致发光（ＰＬ）蓝移进行了解释。     

Solar activity prediction studies and services in NAOC

Solar activity prediction services started in 1960’s in National Astronomical Observatories, Chinese Academy of Sciences (NAOC). As one of the members of the International Space Environment Service (ISES), Regional Warning Center of China (RWC-China) was set up in 1990’s. Solar Activity Prediction Center (SAPC), as one of the four sub-centers of RWC-China, is located in NAOC. Solar activity prediction studies and services in NAOC cover short-term, medium-term, and long-term forecast of solar activities. Nowadays, certain prediction models, such as solar X-ray flare model, solar proton event model, solar 10 cm radio flux model, have been established for the practical prediction services. Recently, more and more physical analyses are introduced in the studies of solar activity prediction, such as the magnetic properties of solar active regions and magnetic structure of solar atmosphere. Besides traditional statistics algorithms, Machine Learning and Artificial Intelligence techniques, such as Support Vector Machine (SVM) method, are employed in the establishment of forecast models. A Web-based integrated platform for solar activity data sharing and forecast distribution is under construction.