基于改进的PRI方法对植被冠层叶绿素含量的反演

叶绿素是植被光合作用的重要色素，对植被的健康状况有直接的指示作用。利用遥感技术准确、快速地获取植被叶绿素含量对精准农业具有重要意义。文章在对各种光化学植被指数（Photochemical Reflectance Index，PRI）与叶绿素含量进行敏感性分析的基础上，提取出对叶绿素变化较为敏感的组合形式，并考虑土壤背景的影响，提出了一种改进的PRI模型，同时利用在小汤山试验田获取的地面采样数据和实用模块化成像光谱仪（Operative Modular Imaging Spectrometer，OMIS）数据进行验证。结果表明，基于OMIS高光谱数据，模型能够很好地对植被冠层的叶绿素含量进行反演，反演的叶绿素含量与实测值具有较好的相关性。     

航天项目风险管理——预先识别与控制风险到可接受程度

风险是对成功实现项目目标的威胁。航天项目风险管理是预先对风险进行系统地识别、评估、跟踪和降低的活动,是一个在整个项目生命周期内连续、反复进行的过程。风险管理的目的是将风险降低到一个可接受的水平。根据风险对成功威胁的程度排序,可以使管理的关注点集中到风险程度较大的问题上。技术风险管理关注影响技术性能的风险,是项目风险管理的组成部分。     

Aircraft air conditioning system health state estimation and prediction for predictive maintenance

The vast potential of system health monitoring and condition based maintenance on modern commercial aircraft is being realized through the innovative use of Airplane Condition Monitoring System (ACMS) data. However there are few methods addressing the issues of failure prognostics and predictive maintenance for commercial aircraft Air Conditioning System (ACS). This study developed a Bayesian failure prognostics approach using ACMS data for predictive maintenance of ACS. First, a health index characterizing the ACS health state is inferred from a multiple sensor signals using a data driven method. Then a dynamic linear model is proposed to describe the degradation process for failure prognostics. Bayesian inference formulas are carried out for degradation estimation and prediction. The developed approach is applied on a passenger aircraft fleet with ACMS data recorded for one year. The analysis of the case study shows that the developed method can produce satisfactory prognostics results, where all the ACS failure precursors are identified in advance, and the relative errors for the failure time prediction made when just entering the degradation warning stage are less than 8%. This would allow operators to proactively plan future maintenance.     

Physical implications of discrepancy between summer and winter PC indices observed in the course of magnetospheric substorms

The PC index based on a statistically justified relationship between the polar cap magnetic activity and the interplanetary electric field E_KL has been derived as a value standardized for the E_KL intensity regardless of season, UT and hemisphere. As a result, the summer and winter PC indices are consistent with one another under ordinary conditions. Discrepancies between the summer and winter PC indices arising in the course of magnetospheric substorms are analyzed in this paper. It is argued that the channel of enhanced conductivity, formed in the auroral oval owing to intense auroral particle precipitation, strongly improves the conditions for closure of the Region 1 field-aligned currents in the winter dark polar region but only trivially affects the conditions of the Region 1 FAC closure in the summer sunlit ionosphere. Since the coefficients describing the relationship between E_KL and the polar cap magnetic activity were derived for statistically justified (i.e., mean) conditions, their application to such abnormal situation, as intense field-aligned currents in the winter dark polar region, leads to overestimation of the winter PC index. The summer and winter PC indices level off as soon as the intense auroral particle precipitation terminates and the auroral ionosphere in the winter and summer polar caps returns to the ordinary (statistically justified) state.     

Using vegetation indices and texture measures to estimate vegetation fractional coverage (VFC) of planted and natural forests in Nanjing city,China

Vegetation fractional coverage (VFC) is an important vegetation parameter affecting exchanges of carbon, water, energy between the atmosphere and surface. In this study, the applicability of tonal and texture measures calculated using an IKONOS_2 image in retrieving VFC of forests was investigated in the urban area of Nanjing city, China. Four spectral vegetation indices (VI) and six texture measures (TEX) were related to VFCs acquired from in situ measurements. Models for estimating VFC based on VIs or/and TEXs were established and validated for planted low broad-leaf forest plots (PLB), planted mature forest plots (PMF), natural broad-leaf forest plots (NBF), and all forest plots (ALLv), respectively. The results show that high spatial resolution remote sensing data is applicable to estimate VFC in urban areas, and TEXs may act as effective supplements of vegetation indices (VIs) for the retrieval of VFC. VIs are suitable for VFC estimation of mature forests (such as NBF and PMF) with high vegetation density, and TEXs can yield a more accurate estimate for planted forests (such as PLB and PMF) with regular spatial distribution if they are calculated with proper parameters, such as window size. The combination of VIs and TEXs improve the estimation of VFC if forest types are not previously differentiated. The results can be used as a reference for determining effective spectral or texture parameters in VFC estimation under similar environmental conditions according to vegetation maturity and regularity.     

径向磁力轴承系统的时间响应特性分析

本文介绍了径向磁力轴承控制系统的二次型性能指标加仅矩阵的选择，径向磁力轴承的跟踪特性和抗干扰特性分析，并给出了仿真曲线。     

廊坊市新型城镇化水平及指标体系构建研究

在理解新型城镇化内涵的基础上，分析廊坊市城镇化现状，根据廊坊市具体情况，建立一套包含五类，36个具体指标的综合测度城镇化水平指标体系，并对廊坊各县（市）城镇化水平进行主成分分析和聚类分析，从而定量了解廊坊各县（市）城镇化水平，清晰地分析不同县（市）城镇化发展状况，为廊坊市新型城镇化战略的制定提供科学依据。     

基于引文索引的航空发动机咨询通告分析方法

引入了引文索引方法对整部航空规章中所有咨询通告进行整体上的分析,提出了一种基于引文索引的航空发动机咨询通告分析方法.首先,确定某部航空规章的咨询通告为研究对象,根据咨询通告间的相互引用关系画出引文网络图;然后,在引文网络图的基础上结合评价指标的定性分析和定量分析对咨询通告进行全面的研究分析;最后,应用此方法对美国某部航空规章的咨询通告进行实例分析,同时也说明了基于引文索引的航空发动机咨询通告分析方法的可行性.     

基于混沌遗传算法优化神经网络方法的救护直升机效能评估与指标优化研究

采用遗传算法与神经网络相结合的方法研究救护直升机的效能评估,建立了评估指标与效能评估值的非线性关系,克服了传统线性评估方法的不足,结果表明GA-BP算法能够很好地评估救护直升机效能,并保持了很高的精确度;同时,采用BP-GA算法对救护直升机的指标进行了优化,结果同样表明该方法可以有效地优化救护直升机的指标.     

基于Lucene＼XML技术的Web搜索引擎设计与实现

Lucene是一个强大的开放源代码的全文索引引擎工具包,对它进行分析应用有利于研究搜索引擎的相关技术.本文使用Lucene\XML技术设计并实现了一个Web搜索引擎,可对Web站点的全部文本、图片、音频三类数据的进行索引;采用了XML作为数据存储容器,可在大信息环境下极大地节省存贮空间和提高索引的速度;同时在客户端方面引进了移动客户搜索界面,把搜索引擎的功能进一步扩大到手机客户,在移动通信高速发展的今天,有着重要的意义.