A modern robust approach to remotely estimate chlorophyll in coastal and inland zones

The chlorophyll concentration of a water body is an important proxy for representing the phytoplankton biomass. Its estimation from multi or hyper-spectral remote sensing data in natural waters is generally achieved by using (i) the waveband ratioing in two or more bands in the blue-green or (ii) by using a combination of the radiance peak position and magnitude in the red-near-infrared (NIR) spectrum. The blue-green ratio algorithms have been extensively used with satellite ocean color data to investigate chlorophyll distributions in open ocean and clear waters and the application of red-NIR algorithms is often restricted to turbid productive water bodies. These issues present the greatest obstacles to our ability to formulate a modern robust method suitable for quantitative assessments of the chlorophyll concentration in a diverse range of water types. The present study is focused to investigate the normalized water-leaving radiance spectra in the visible and NIR region and propose a robust algorithm (Generalized ABI, GABI algorithm) for chlorophyll concentration retrieval based on Algal Bloom index (ABI) which separates phytoplankton signals from other constituents in the water column. The GABI algorithm is validated using independent in-situ data from various regional to global waters and its performance is further evaluated by comparison with the blue-green waveband ratios and red-NIR algorithms. The results revealed that GABI yields significantly more accurate chlorophyll concentrations (with uncertainties less than 13.5%) and remains more stable in different waters types when compared with the blue-green waveband ratios and red-NIR algorithms. The performance of GABI is further demonstrated using HICO images from nearshore turbid productive waters and MERIS and MODIS-Aqua images from coastal and offshore waters of the Arabian Sea, Bay of Bengal and East China Sea.     

A holistic approach to SIM platform and its application to early-warning satellite system

This study proposes a new simulation platform named Simulation Integrated Management (SIM) for the analysis of parallel and distributed systems. The platform eases the process of designing and testing both applications and architectures. The main characteristics of SIM are flexibility, scalability, and expandability. To improve the efficiency of project development, new models of early-warning satellite system were designed based on the SIM platform. Finally, through a series of experiments, the correctness of SIM platform and the aforementioned early-warning satellite models was validated, and the systematical analyses for the orbital determination precision of the ballistic missile during its entire flight process were presented, as well as the deviation of the launch/landing point. Furthermore, the causes of deviation and prevention methods will be fully explained. The simulation platform and the models will lay the foundations for further validations of autonomy technology in space attack-defense architecture research.     

用PB5.0的图形功能表示Foxpro数据

介绍了如何利用ODBC实现从Foxpro→PowerBuilder5.0的数据转换,利用PowerBuilder的DataWindow的Graph显示风格,输出由Foxpro建立的数据库数据,通过图表分析数据,直观地反映数据的变化规律和变化趋势。提出了一种通过编程动态改变图表的显示方式和分析指标的方法,以满足不同的分析目的和分析数据的要求,并给出了部分程序。     

普通高校科学研究特点及发展方向

本文采用对比的方法提出并归纳了普通高校科学研究的一般特点,然后对普通高校科学研究定位和发展方向进行了探讨,并提出若干保证措施。     

等离子体处理对非晶态合金镀层表面改性研究

通过微波等离子体处理方法对Ni-W、Ni-W-B非晶态合金镀层表面进行改性的研究,测量了表面改性对非晶态镀层耐蚀性、表面成分及结构的影响.结果表明,经过微波等离子体处理过的Ni-W、Ni-W-B非晶态合金镀层,提高了在H₂SO₄、HNO₃溶液中的耐蚀性以及在700℃环境下的抗氧化性能;微波等离子体处理过的非晶态合金镀层表面含W量和含O量相对提高了;镀层结构仍然是非晶态.     

某型涡扇发动机热起动性能故障分析与调整研究

本文针对国内翻修后的某型涡扇发动机起动性能有所下降,造成外场在炎热天气下使用时起动困难的问题进行原因分析和调整研究.     

基于社会网络分析法在国内航空安全管理体系研究现状的应用与分析

社会网络分析法能够对国内航空安全管理体系研究现状提供客观定量的分析。以SMS为关键词,在CNKI里检索收录的相关文献。首先,用SATI软件对检索数据进行预处理,构建共词矩阵;然后,用社会网络分析法中的社会密度分析、中心性分析、聚类分析和核心-边缘分析方法对关键词进行研究,分析当前航空安全管理体系研究现状和其研究趋势,为今后研究航空安全管理体系领域提供了参考。     

大数据在航空系统的研究现状与发展趋势

针对大数据在航空系统中的应用问题,阐述了学术界与航空工业界在航空大数据采集传输、分析技术及可视化等方面的研究现状。提出了航空大数据平台基础架构,对目前推出的几款航空大数据分析平台结合优化运营、优化维护、降低成本、降低风险等方面的需求进行了评述。指出大数据在航空系统中的应用还存在着理念、方法、技术、人等方面的挑战,并相应地提出大数据组织专门化、处理方法混合化、分析平台柔性化及跨界合作深入化等发展趋势。     

扇翼飞行器的研究进展与应用前景

随着科学技术的迅猛发展,飞机无论在构型还是性能方面都获得了飞速发展,但是新原理飞机的研制却进展不大。扇翼飞行器是近期发展起来的低速大载荷新型飞行器,它是不同于现有固定翼、旋翼飞行器的新构型、新原理飞行器。而国内对于该飞行器的研究才刚刚起步,可参考的文献资料很少。因此,本文通过国内外扇翼飞行器发展状况的研究,对扇翼飞行器研究进展进行总结分析。首先介绍了扇翼飞行器的飞行原理;其次系统地回顾了扇翼飞行器的提出,并总结了其在国内外研究的进展情况;接着根据扇翼飞行器近期的发展动态,对该飞行器的应用前景作出分析;最后总结了扇翼飞行器发展中亟待解决的关键技术,以及其未来发展的难点和趋势。     

星地动态双向时间同步与测距算法

针对卫星运动对星地距离和钟差测量的不利影响,提出一种基于最小二乘拟合的星地动态双向时间同步与测距算法。在建立星地可视模型基础上,仿真了MEO运动卫星与地面时间同步站之间星地距离的变化规律,分析了卫星运动对星地双向时间同步与测距的主要不利影响。该算法首先利用星地双向时间同步数据分别生成星地距离和钟差拟合多项式,然后联合求解出运动卫星误差最小的星地距离与钟差。实验结果表明了该算法的合理性和科学性,在包含仿真误差的条件下,其时间同步精度优于3ns,测距精度优于3m。将其应用到各种空天应用系统的星地时间同步与测距中,可以消除卫星运动对双向时间同步与测距的不利影响,提高时间同步与测距精度。