从美的流变浅析美的本质

自从十八世纪中页鲍姆嘉通为美学奠定基础以来,众多哲学家、美学家写了无数论著来探讨美的含义.那么,美的本质究竟是什么呢?为什么美的问题会如此难以明晰?直到马克思主义美学产生后,这一美学命题才得到突破性地进展.马克思主义美学以实践为基础,认为实践是人类存在和发展的本质特征,从而提出"美是人的本质力量的对象化."将审美主体和审美客体有机地统一起来.     

热处理真空淬火工艺的应用

超高强度钢在普通空气炉和盐炉中热处理后，零件表面氧化脱碳相对比较厚，再返回机加车间精加工，其高强度给机加带来不便。通过改进热处理工艺，采用保护气氛炉或真空炉淬火，在满足机械性能要求的前提下，实现少、无氧化热处理。     

针对电视／红外导引头的镜面干扰法

随着“空地一体化”和“数字化”作战理论在战争中的应用，以电视／红外制导武器为主的防区外精确打击能力，成为空军现代化水平的主要标志之一。在介绍电视／红外制导空地导弹武器系统末制导段的工作过程和图像跟踪原理的基础上，对电视／红外导引头的特点及其跟踪过程进行了深入分析，得出电视／红外导引头光电干扰的实现方法。针对现有干扰方法的缺点，提出了一种新的光电干扰方法——镜面干扰方法。     

FGDC空间数据标准概况

概述美国联邦地理数据委员会(FGDC)的工作目标、活动宗旨、组织结构及其职责,介绍FGDC在发展空间数据标准方面的基本情况、FGDC标准参考模型的结构和FGDC现有标准的发布状况.     

Deriving remote sensing reflectance from turbid Case II waters using green-shortwave infrared bands based model

The objectives of this study are to validate the applicability of a shortwave infrared atmospheric correction model (SWIR-based model) in deriving remote sensing reflectance in turbid Case II waters, and to improve that model using a proposed green-shortwave infrared model (GSWIR-based model). In a GSWIR-based model, the aerosol type is determined by a SWIR-based model and the reflectance due to aerosol scattering is calculated using spectral slope technology. In this study, field measurements collected from three independent cruises from two different Case II waters were used to compare models. The results indicate that both SWIR- and GSWIR-based models can be used to derive the remote sensing reflectance at visible wavelengths in turbid Case II waters, but GSWIR-based models are superior to SWIR-based models. Using the GSWIR-based model decreases uncertainty in remote sensing reflectance retrievals in turbid Case II waters by 2.6–12.1%. In addition, GSWIR-based model’s sensitivity to user-supplied parameters was determined using the numerical method, which indicated that the GSWIR-based model is more sensitive to the uncertainty of spectral slope technology than to that of aerosol type retrieval methodology. Due to much lower noise tolerance of GSWIR-based model in the blue and near-infrared regions, the GSWIR-based model performs poorly in determining remote sensing reflectance at these wavelengths, which is consistent with the GSWIR-based model’s accuracy evaluation results.     

Friction and Wear Properties of Amorphous Carbon Nitride Coatings in Water Lubrication

The friction and wear properties of amorphous carbon nitride(a-CN x)coatings in water lubrication were reviewed.The influences of mating materials and tribological variables such as normal load(W)and sliding speed(V)on the friction and wear properties of the a-CN x coatings were analyzed.It was indicated that the specific wear rate of the a-CN x coatings was related to the hydration reaction of mating materials with water.If the mating materials were easily hydrated,the specific wear rate of a-CN x coatings was low.The water-lubricated properties of the a-CN x coatings were better in comparison to the a-C coatings.The a-CN x/Si-based non-oxide ceramics tribo-pairs exhibited the lowest friction coefficient and wear rate.To describe their friction and wear properties at the normal loads of 3—15Nand the sliding speeds of 0.05—0.5m/s,the wear-mechanism maps for the a-CN x/SiC(Si3N4)tribo-pairs in water were developed.     

基于博弈模型的航空型号异地协同知识共享激励研究

在航空型号异地协同研发的过程中需要参研单位进行知识共享,针对知识共享过程中产生的问题,构建知识共享博弈模型并对其进行分析,提出了对采取共享策略的参研单位给予奖励,在博弈模型中引入激励因素,并分析了激励对参研单位知识共享行为的影响。     

Adaptive neural network control of nonlinear systems with unknown dynamics

In this study, an adaptive neural network control approach is proposed to achieve accurate and robust control of nonlinear systems with unknown dynamics, wherein the neural network is innovatively used to learn the inverse problem of system dynamics with guaranteed convergence. This study focuses on the following three contributions. First, the considered system is transformed into a multi-integrator system using an input–output linearization technique, and an extended state observation technique is used to identify the transformed states. Second, an iterative control learning algorithm is proposed to achieve the neural network training, and stability analysis is given to prove that the network’s predictions converge to ideal control inputs with guaranteed convergence. Third, an adaptive neural network controller is developed by combining the trained network and a proportional-integral controller, and the long-standing challenge of model-based methods for control determination of unknown dynamics is resolved. Simulation results of a virtual control mission and an aerospace altitude tracking mission are provided to substantiate the effectiveness of the proposed techniques and illustrate the adaptability and robustness of the proposed controller.     

可重复启动低温上面级的推进剂管理装置研究

回顾了低温上面级推进剂管理技术的国内外研究现状,分析了上面级微重力环境中低温推进剂管理涉及的液体蓄留、气液分离和局部热控等关键技术。开展了液氧贮箱推进剂管理装置的方案设计,并试验验证了可填充蓄液器的填充和下层板网的指定路径排气等关键功能,确认了方案的可行性。