高校图书馆须走开发之路

在分析了高校图书馆的发展现状和面临的困境之后，阐述了高校图书馆重视文献信息资源，走开发式道路的可能性与必然性，并提出了相应的对策。     

数字孪生及其在航空航天中的应用

数字孪生已引起国内外的广泛重视，可看作是连接物理世界和数字世界的纽带。其通过建立物理系统的数字模型、实时监测系统状态并驱动模型动态更新实现系统行为更准确的描述与预报，从而在线优化决策与反馈控制。本文分析表明数字孪生体相比一般的模拟模型，具有集中性、动态性和完整性的突出特点。数字孪生的发展需要复杂系统建模、传感与监测、大数据、动态数据驱动分析与决策和数字孪生软件平台技术的支撑。在航空航天领域，数字孪生可应用于飞行器的设计研发、制造装配和运行维护。重点讨论了应用机身数字孪生进行寿命预测与维护决策的案例，相比于周期性维护，具有检修次数更少、维护成本更低的优势。最后，给出了数字孪生在空间站、可重复使用飞船的地面伴飞系统中的初步应用框架。     

钛合金杯形件拉深成形非轴对称现象的分析

采用TC1Mδ1.5钛合金板料试样在常温下进行杯形件拉深成形工艺试验,在确定出该规格板料极限拉深比和极限破坏方式的同时,定量阐述了拉深卸载后出现的杯口凸耳、杯口非圆化及杯口壁厚分布不均等非轴对称畸变现象,并且从钛合金各向异性和回弹方面给出了出现非轴对称现象的原因分析。     

NOVEL RADAR SIGNAL SORTING METHOD BASED ON GEOMETRIC COVERING

With the increase of complexity of electromagnetic environment and continuous appearance of advanced system radars, signals received by radar reconnaissance receivers become even more intensive and complex. There- fore, traditional radar sorting methods based on neural network algorithms and support vector machine （SVM） cannot process them effectively. Aiming at solving this problem, a novel radar signal sorting method based on the cloud model theory and the geometric covering algorithm is proposed. By applying the geometric covering algo- rithm to divide input signals into different covering domains based on their distribution characteristics, the method can overcome a typical problem that it is easy for traditional sorting algorithms to fall into the local extrema due to the use of complex nonlinear equation to describe input signals. The method uses the cloud model to describe the membership degree between signals to be sorted and their covering domains, thus it avoids the disadvantage that traditional sorting methods based on hard clustering cannot deinterleave the signal samples with overlapped param- eters. Experimental results show that the presented method can effectively sort advanced system radar signals with overlapped parameters in complex electromagnetic environment.     

基于QAR的PW4077D发动机放气活门与N1的关系

航空发动机的放气活门调节规律是一个较为复杂的控制过程。依据大量QAR数据,采用数学分析的方法初步探索了PW4077D型发动机2.5级放气活门开度控制规律。通过对大量数据的统计分析可知,放气活门开度与低压转子转速N1关系最为密切。首先通过数据解码和修正得到各航班标准状态下的N1值;采用非线性回归的数理统计方法分段拟合,得到2.5级放气活门开度与N1的数学模型。经检验,该模型在一定范围内良好地反映了该型发动机2.5级放气活门开度大小的调节规律。     

Bernoulli particle flter with observer altitude for maritime radiation source tracking in the presence of measurement uncertainty

For maritime radiation source target tracking in particular electronic counter measures（ECM）environment,there exists two main problems which can deteriorate the tracking performance of traditional approaches.The frst problem is the poor observability of the radiation source.The second one is the measurement uncertainty which includes the uncertainty of the target appearing/disappearing and the detection uncertainty（false and missed detections）.A novel approach is proposed in this paper for tracking maritime radiation source in the presence of measurement uncertainty.To solve the poor observability of maritime radiation source target,using the radiation source motion restriction,the observer altitude information is incorporated into the bearings-only tracking（BOT）method to obtain the unique target localization.Then the two uncertainties in the ECM environment are modeled by the random fnite set（RFS）theory and the Bernoulli fltering method with the observer altitude is adopted to solve the tracking problem of maritime radiation source in such context.Simulation experiments verify the validity of the proposed approach for tracking maritime radiation source,and also demonstrate the superiority of the method compared with the traditional integrated probabilistic data association（IPDA）method.The tracking performance under different conditions,particularly those involving different duration of radiation source opening and switching-off,indicates that the method to solve our problem is robust and effective.     

SPATIAL REGULARIZATION OF CANONICAL CORRELATION ANALYSIS FOR LOW-RESOLUTION FACE RECOGNITION

Canonical correlation analysis ( CCA ) based methods for low-resolution ( LR ) face recognition involve face images with different resolutions ( or multi-resolutions ), i.e.LR and high-resolution ( HR ) .For single-resolution face recognition , researchers have shown that utilizing spatial information is beneficial to improving the recognition accuracy , mainly because the pixels of each face are not independent but spatially correlated.However , for a multi-resolution scenario , there are no related works.Therefore , a method named spatial regularization of canonical correlation analysis ( SRCCA ) is developed for LR face recognition to improve the performance of CCA by the regularization utilizing spatial information of different resolution faces.Furthermore , the impact of LR and HR spatial regularization terms on LR face recognition is analyzed through experiments.     

基于混合总线的ATS升级方法

在虚拟仪器技术进步的过程中,由于需求的复杂性、成本的限制、技术生命期和设备寿命期等诸多因素的共同作用,新、老技术并存的情况必然存在,所以研究ATS的升级问题是一项具有现实意义和经济价值的工作.介绍了一种基于混合总线的自动测试系统升级设计,从硬件和软件两个方面详细说明了系统的实现过程.系统从硬件系统设计到软件开发都遵循了标准化和通用化的设计思想.     

半导体激光器干涉测距进展

全面评述了近年来半导体激光器应用于干涉测距的进展,对其中的代表性文献进行了详细的分析,指出了该技术今后的主要发展方向和关键问题。     

CABIN NOISE SOURCE-PATH IDENTIFICATIONFOR AD-200 ULTRALIGHT AIRCRAFT

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