Investigations of the Krasnoyarsk Reservoir waters based on the multispectral satellite data

In this work historical investigations and modern results of classification of the Krasnoyarsk Reservoir are presented. The paper presents results of studying the dynamics of phytopigments and other optically active components, using multispectral satellite data. Several approaches to interpreting satellite data for optically complex inland water bodies are offered. Based on results of historical investigations it is shown that the spatial distribution of phytoplankton in the reservoir stems back to the time of its formation. Color index in the red spectral region (CIR) is introduced. A relationship between the color index and chlorophyll concentration is investigated. The CIR, derived from the AVHRR data, has been found to be related to chlorophyll concentration. Based on MODIS data, the waters of the Krasnoyarsk Reservoir have been classified in accordance with their optical spectral variability, using the technique of unsupervised IsoData classification. An empirical relationship between multispectral MODIS data and the ground-truth measurements of chlorophyll concentration has been found.     

抗差自适应分步滤波算法在PPP/INS组合导航中的应用

针对常规抗差自适应滤波算法在PPP/INS组合导航应用中存在难以准确识别和分离观测粗差及运动异常对定位结果影响的问题，基于分类因子自适应滤波原理,提出了一种抗差自适应分步滤波算法。该算法首先执行第一步滤波,对状态模型异常信息进行隔离，仅对观测粗差进行诊断和抗差处理；然后在第一步滤波的基础上，执行第二步滤波，对状态模型异常进行诊断和自适应处理。算法分析表明，抗差自适应分步滤波算法可以准确地识别和分离观测粗差和运动异常扰动。实验结果表明，抗差自适应分步滤波算法能够进一步增强滤波算法抵抗观测粗差和运动异常扰动对滤波结果的影响，提高PPP/INS组合导航系统定位结果的稳定性和可靠性。     

我国人口受教育程度分类模型

模糊聚类分析是研究将事物进行分类的科学,其目的是利用一定的数学方法将研究的样品或变量归并为若干类,使得每一类中的所有个体之间具有密切的关系,而不同类之间个体关系相对比较疏远.本文用模糊聚类方法将我国人口受教育程度分成了四类的模式,按该模式可以对其他省市进行了预测分类.     

基于DSP的自适应滤波LMS算法的研究和实现

水声通信是近年来发展迅速、研究相当活跃的通信技术领域之一,它的研究为水下信息可靠传输提供了重要保障。本研究课题来自某军工科研项目,主要对浅海中的信息进行识别、收集、存储、转发。本文主要介绍自适应滤波特点并对LMS算法进行了研究,同时结合DSP使其实现。最后对实验结果进行了分析。     

多传感器协同探测证据理论分类融合方法

随着智能化、网络化集群作战等理念和技术的兴起，精确制导武器越来越向智能化、协同化方向发展。多传感器协同探测能够针对不同的探测任务背景和作战需求，提升目标探测性能，还可以跨域整合多种探测平台。但是由于信息的不确定性等特点，使得多传感器数据直接融合可能造成决策困难。因此，在证据理论体系下对信息融合的有效性进行合理分析与度量是很有必要的。提出了一种基于Deng熵的证据理论分类融合算法，以熵减为主要思想，将证据进行分类融合。在决策过程中，将含有证据数最多的类别融合结果作为总体融合结果，避免高冲突证据的影响，提升融合结果的信息有效性。采用算例说明了所提方法不仅能够得到合理正确的结果，并且融合可靠性较高，便于决策与后续的信息处理。     

基于数据挖掘和决策树的测试用例重用技术研究

通过应用数据挖掘和决策树算法，将测试专家分类重用测试用例的思想固化，并可以根据新采集的可重用的测试用例，不断扩充分类规则，使测试用例重用库具有不断自扩充和自完善的能力。通过使用测试用例重用库中可重用的测试用例和测试思想，可以提高测试人员对被测软件需求规格说明中功能和性能等指标的测试全面性和有效性，提高工作效率，减少工作量，并提高测试质量。     

船舶燃气轮机进气系统中过滤装置数值模型化处理方法研究

为了研究船舶燃气轮机进气系统中,过滤装置数值模型化处理方法的模拟精度及其适用性。针对一种双通道船舶燃气轮机进气系统,分别采用Fan边界和多孔介质模型方法对过滤装置（百叶窗、滤清器）的复杂结构进行处理,开展进气系统内流场特性的详细数值计算研究。结果表明：进气系统大部分总压损失源于燃烧空气滤清器产生的总压损失和竖井中的流动损失;与Fan边界相比,多孔介质模型方法能够获得更贴合实际的进气系统流场,对系统总压损失的预测更具可靠性;两种方法计算出的进气系统流动损失相差不超过10%;使用Fan边界需保证过滤装置不产生明显的整流作用,且压力损失实验数据完备,而选用多孔介质模型需要已知过滤装置阻力系数、孔隙率等物理参数。     

Towards the automated operations of large distributed satellite systems. Part 2: Classifications and tools

Recent developments have seen a trend towards larger constellations of spacecraft, with some proposals featuring constellations of more than 10.000 satellites. While similar concepts for large constellations already existed in the past, traditional satellite deployments hardly ever feature groups of more than 100 satellites. This trend towards considerably larger satellite numbers originates from non-traditional design and operations of spacecraft by non-traditional space companies. The evolution in the space sector, precipitated by new players, is often referred to as “Space 4.0” or “New Space”. It necessitates a rethinking of the way satellites and satellite constellations are planned, designed, and operated. New operational paradigms are needed to enable automatic, optimal task definition, and scheduling in a holistic approach.This is the second of two companion papers that investigate the operations of distributed satellite systems. This second article investigates the classification of distributed satellite systems and evaluates commercial tools for automated spacecraft operations, whereas the first article performed a survey of conventional and “new space”operations of spacecraft constellations.Classification metrics for constellations are derived and evaluated with respect to their informative value concerning the operation, the automation, and the scalability of the constellation. The proposed classification system is applied to the Dove and RapidEye constellation and allows for a comparison between the presented automation approaches. Commercial tools for automated spacecraft operations are evaluated for several mission task elements, such as orbit control, orbit maintenance, and collision avoidance. Subsequently, the trends, benefits, and standardization needs for operational automation are identified.     

Classification of hyperspectral remote-sensing data with primal SVM for small-sized training dataset problem

With recent technological advances in remote sensing, very high-dimensional (hyperspectral) data are available for a better discrimination among different complex land-cover classes having similar spectral signatures. However, this large number of bands makes very complex the task of automatic data analysis. In the real application, it is difficult and expensive for the expert to acquire enough training samples to learn a classifier. This results in a classification problem with small-size training sample set. Recently, a regularization-based algorithm is usually proposed to handle such problem, such as Support Vector Machine (SVM), which usually are implemented in the dual form with Lagrange theory. However, it can be solved directly in primal formulation. In this paper, we introduces an alternative implementation technique for SVM to address the classification problem with small-size training sample set. It has been empirically proven that the effectiveness of the introduced implementation technique which has been evaluated by benchmark datasets.     

浅析朱敦儒隐逸词

朱敦儒隐逸词题材广泛，内容丰富，反映了作者曲折的生活经历和出尘脱俗的精神世界。其恬淡、豁达的心境，既是诗人的人生个性，也创造了南宋隐逸词晶莹明净的优美意境。