光纤陀螺温度建模及补偿技术研究

研究了干涉式光纤陀螺的温度补偿问题。首先分析了光纤陀螺仪温度漂移的主要影响因素，并应用人工神经网络与数理统计方法建立了陀螺仪的温度补偿模型。最后对某型号陀螺进行了0～50℃环境温度下的大量恒温及变温实验，通过实验数据完善所建模型并完成了对该陀螺的温度补偿。实验结果表明：在特定温度环境下，该方法能够有效地改善光纤陀螺仪零偏稳定性。     

基于主动磁轴承的高速飞轮转子系统的非线性控制研究

针对控制力矩陀螺——主动磁轴承飞轮转子系统的强非线性和由陀螺效应产生的进动和章动导致系统的失稳问题,提出了神经网络的控制方案,设计了RBF神经网络控制器,并给出了李亚普诺夫函数的稳定性证明。研究表明,该控制器解决了陀螺效应导致的主动磁轴承-飞轮转子的不稳定性问题,且抑制了噪声对磁轴承稳定性所造成的破坏。最后,数值算例证明了该方法消除噪声的可行性和有效性。     

应用少量短电阻应变丝布置的损伤评估智能材料结构

智能材料结构是一门新学科，它越来越引起不同学科研究者们的兴趣，本文研究采用电阻应变丝为传感元件，人工神经网络为处理辨识器的损伤评估智能材料结构，提出并实施了一种少量短电阻应变丝的传感元件布置方法，用以对结构中损伤或大应变的区域和级别进行在线评估。     

基于神经网络模型的学习诊断

基于故障树模型的诊断把故障树的底事件分成三部分：必然的故障源集（ＣＦＳ）、正常底事件集（ＮＥＳ）和可能的故障源集（ＰＦＳ），及如何进一步确定ＰＦＳ中各元素的状态（正常或异常）。在存在大量训练样本的情况下，可采用基于神经网络模型的学习诊断方法来确定ＰＦＳ中各元素的状态，并通过对某卫星能源系统故障模拟原理性试验台的故障诊断验证了该方法的有效性。     

FY—1C卫星地面综合测试软件技术

介绍FY－1C星地面综合测试软件的系统构成、系统的网络数据流，着重介绍为提高测试软件的安全可靠性、准确性，提高软件对卫星的监视能力，提高软件发现问题的能力，以及提高软件发现问题的主动预报能力而采取的行之有效的有效的方法。并给出了一些软件实际应用的成果图。     

人工智能在OODA 循环中的应用

当前人工智能(AI) 是商业和工业，甚至军事应用领域中最热门的流行语。军事国防领域也已经将人 工智能发展成为了一种技术，并应用到军事作战和决策系统中。最初OODA 循环是最知名的空战战术模型， 后来发展成为各国空军的作战方法。OODA 循环对于任务的定义和决策过程的理解起到了重要的作用。本文主 要研究了人工智能在OODA 循环决策中的应用。讨论了未来OODA 循环各阶段中所需的AI 作用和技术，包 括可解释的人工智能和基于学习的人工智能。     

Spatial modeling of flood probability using geo-environmental variables and machine learning models,case study: Tajan watershed,Iran

The main objective of this study was to produce flood susceptibility maps for Tajan watershed, Sari, Iran using three machine learning (ML) models including Self-Organization Map (SOM), Radial Basis Function Neural Network (RBFNN), and Multi-layers Perceptron (MLP). To reach such a goal, different physical-geographical factors (criteria) were integrated and mapped. 212 flood inventory map was randomly divided into training and testing datasets, where 148 flood locations (70%) were used for training and the remaining 64 locations (30%) were employed for testing. Model validation was performed using several statistical indices and the area under the curve (AUC). The results of the correlation matrix showed, three factors slope (0.277), distance from river (0.263), and altitude (0.223) were the most important factors affecting flood. The accuracy evaluation of the flood susceptibility maps through the AUC method and K-index shows that in the validation phase RBFNN (AUC = 0.90) outperform the MLP (AUC = 0.839) and SOM (AUC = 0.882) models. The highest percentage flood susceptibility of the area in MLP, SOM and RBFNN models is related to moderate (28.7%), very low (40%) and low (37%), respectively. Also, the validation results of the models using the Relative Flood Density (RFD) approach showed that very high class had the highest RFD value.     

网络分析仪时域测量技术综述

矢量网络分析仪直接测量两端口网络的微波特性，是射频微波测量领域中应用最广泛的仪器之一。网络分析仪时域技术在故障点定位、多路径消除、不连续性测试等应用中有着非常重要的意义，但是如何合理选取时域模式和设置参数是困扰工程研究人员的难点。本文对网络分析仪时域测量模式、离散数据取样、频率截断、窗函数、归一化等时域测量理论进行详细介绍，给出了时域测量范围和分辨力的计算方法，并以开路器的时域响应为例，说明了时域测量相关参数的设置依据。     

Crop parameters estimation by fuzzy inference system using X-band scatterometer data

Learning fuzzy rule based systems with microwave remote sensing can lead to very useful applications in solving several problems in the field of agriculture. Fuzzy logic provides a simple way to arrive at a definite conclusion based upon imprecise, ambiguous, vague, noisy or missing input information. In the present paper, a subtractive based fuzzy inference system is introduced to estimate the potato crop parameters like biomass, leaf area index, plant height and soil moisture. Scattering coefficient for HH- and VV-polarizations were used as an input in the Fuzzy network. The plant height, biomass, and leaf area index of potato crop and soil moisture measured at its various growth stages were used as the target variables during the training and validation of the network. The estimated values of crop/soil parameters by this methodology are much closer to the experimental values. The present work confirms the estimation abilities of fuzzy subtractive clustering in potato crop parameters estimation. This technique may be useful for the other crops cultivated over regional or continental level.     

CCSDS空间网络互联协议发展及启示

空间互联网将是由各种区域网构成的复杂异构网络,为了使其能够逐步实现自动化运行,网络效益得到最大程度的发挥,须做好网络互联的顶层规划与设计,并开发具体的标准技术.根据近年CCSDS (Consultative Committee for Space Data Systems,空间数据系统咨询委员会)发布的建议书,以及相关工作组的项目规划情况,介绍了SSI(Solar System Internetwork,太阳系互联网)体系结构、IPoC(IP over CCSDS space links,在CCSDS空间链路之上承载IP),以及DTN(Delay Tolerant Networking,容延迟网络)等标准项目.从CCSDS空间网络互联技术的发展历程不难得出结论:我国未来空间网络互联应注重区域网之间互联的顶层设计;区域网内部各子网之间的互联技术应选择以航天任务需求牵引为主;DTN将在区域网之间互联以及区域网从简单到复杂发展中都发挥重要作用.