基于卷积ADMM网络的高效结构化稀疏ISAR成像方法

结构化稀疏逆合成孔径雷达(inverse synthetic aperture radar, ISAR)成像是空间态势感知与目标识别的重要手段。该问题可通过压缩感知(compressive sensing, CS)方法解决。目前, 许多传统CS方法仍存在运算效率低、参数适应性不强等问题。针对该问题, 本文提出了一种基于卷积交替方向乘子法网络(convolutional alternating direction method of multipliers network, C-ADMMN)的结构化稀疏ISAR成像方法。利用深度展开方法, 结合传统结构化稀疏ISAR成像模型, 构建C-ADMMN网络。通过监督学习, C-ADMMN仅需约10层网络便可达到传统方法上百次迭代的效果, 具有较高的运算效率且对不同目标具有一定适应性。基于仿真与实测数据的实验结果验证了网络的高效性与参数适应性。     

偏远山区公共图书馆服务发展探究

分析了偏远山区公共图书馆服务的状况和面临的形势,从建设文化强国的战略高度探讨了发展公共图书馆事业的意义,提出了山区公共图书馆发展的策略。     

聚讼与规范：经济犯罪概念的认定与特征的“限制”性释义

经济犯罪的概念虽被提出和使用很久,但至今仍未统一定论。我国的刑事政策决定了经济犯罪的客体,经济犯罪主要侵犯的客体是国家整体经济的秩序。本文在对域内外经济犯罪概念进行的聚讼与争鸣分析后,认为经济犯罪是指从事经济活动的自然人和法人在经济运行过程中,实施违反经济法规,侵害经济管理秩序和经济协调关系,情节严重,依法应当承担刑事责任的行为。经济犯罪概念的认定与特征的＂限制＂性释义取得规范,不仅易于了解经济犯罪的特殊性,也可使刑法的效能得到最大发挥。     

力触觉增强的虚拟现实工厂系统

现有虚拟现实工厂只能依靠头戴式显示器和手柄进行单向的视、听觉虚拟操作，难以进行双向的沉浸式触觉交互。针对此问题，采用力反馈控制器设计了一种力触觉增强的虚拟现实工厂系统。以Unity3D为基础，采用3DMax对工厂内多类型工具和零部件进行三维视觉建模，并通过反射探针、光照探针等组件进行立体化视觉增强。在此基础上，为虚拟空间物体增加刚体、碰撞体、关节等组件，建立虚拟空间的触觉反馈模型，实现了力反馈控制器与虚拟空间物体的实时触觉交互。实验表明：系统可提供重力、摩擦力、恒力等多种力触觉感知，支持对20余种工具、零部件的触摸、抓取等触感操作，能感受模型、轮廓以及质量等物理属性，实现了虚拟工厂中“视触听”多维立体化的沉浸式操作。     

基于自适应遗传算法的超平面分类及遥感应用

智能分类算法是遥感影像分类研究的热点,遗传算法作为一种智能全局优化技术在遥感影像分类中具有良好应用前景.针对现有多光谱遥感影像分类方法的不足,提出了基于自适应遗传算法的超平面分类方法(hyper plane-adaptive genetic algorithm,HP-AGA)并应用于遥感影像分类,该方法利用神经网络中的神经元激活函数Sigmoid函数,对遗传算法中交叉率、变异率进行非线性自适应性调整,不再需要反复训练遗传参数,同时利用快速全局寻优特点,确定分类超平面的各个位置参数,从而获取最佳分类超平面集进行分类.多光谱遥感影像分类方法的应用实验表明,基于自适应遗传算法的超平面遥感分类方法能更快、更稳定地收敛到全局最优解,具有更好的效率及鲁棒性,并能取得优于简单遗传超平面分类算法及传统分类方法的分类精度.     

Global vegetation change analysis based on MODIS data in recent twelve years①

Vegetation cover change is critical for understanding impacts and responses of vegetation to climate change. A study found that vegetation in the regions between 45°N-70°N was increasing using normalized difference vegetation index( NDVI) from 1981 to 1991 ten years ago. The global vegetation growth has changed because of climate change in recent twelve years( 2001- 2012). After thorough analysis based on satellite data,it is found that it is evident that the global vegetation changed( NDVI) little,and it is increasing slightly in Northern hemisphere while it is decreasing slightly in Southern Hemisphere. For different latitudes,vegetation is increasing 0.17% every year from 60°N to 70 °N( R~2= 0.47,P 0.013),while the vegetation is decreasing 0.11% every year from 10°N to 10° S( R~2= 0.54,P 0.004). For different continents,the vegetation in South America is decreasing 0.16% every year( R~2= 0.78,P 0.0001) and it is increasing 0.05% every year in Asia( R~2= 0.28,P 0.072) and 0.25% every year in Oceania( R~2= 0.24,P 0.1). The analysis of global vegetation in different seasons indicates that spatial distribution of global temperature and water vapor will affect the spatial distribution of vegetation,in turn,the spatial distribution of vegetation will also regulate the global temperature and water vapor spatial distribution at large scale. The growth and distribution of vegetation are mainly caused by the orbit of the celestial bodies,and a big data model based on gravitational-magmatic change with the solar or the galactic system as its center is proposed to be built for analyzing how the earth's orbit position in the solar and galaxy system affects spatial-temporal variations of global vegetation and temperature at large scale. These findings promise a holistic understanding of the global climate change and potential underlying mechanisms.     

Temporal and spatial distribution of tropospheric CO<Subscript>2</Subscript> over China based on satellite observations

Mid-troposphere CO₂ data retrieved by the AIRS (atmospheric infrared sounder) were validated with five ground-based stations and aircraft measurements in the Northern Hemisphere. AIRS CO₂ products show good agreement with ground and aircraft observations. The data had a monthly average accuracy better than 3 ppmv. In this study, the spatial and temporal distribution of mid-troposphere CO₂ from January 2003 to December 2008 was analyzed based on this satellite product. The average concentration of atmospheric CO₂ was higher in the Northern Hemisphere than in the Southern Hemisphere. The yearly average results show a gradual increase from 2003 to 2008. In China, the annual growth rate was about 2 ppmv/a, similar to the United States, Europe, Australia and India, but was slightly lower than Canada and Russia. Mid-troposphere CO₂ concentrations were higher over northern China than over southern areas, due to differences in natural conditions and industrial layout. There were four centers of high CO₂ concentration between 35° and 45°N over China, with low concentrations over Yunnan Province. There was a significant seasonal CO₂ variation with peak concentration in spring and the lowest concentration in autumn.     

Dempster-Shafer （D-S） algorithm with credit scale in spectrum sensing

In cognitive radio, the detection probability of primary user affects the signal receiving performance for both primary and secondary users significantly. In this paper, a new Dempster-Shafer (D-S) algorithm with credit scale for decision fusion in spectrum sensing is proposed for the purpose to improve the performance of detection in cognitive radio. The validity of this method is established by simulation in the environment of multiple cognitive users who know their signal to noise ratios (SNR) and a central node. The channels between the cognitive users and the central node are considered to be additive white Gaussian noise (AWGN). Compared with traditional data fusion rules, the proposed D-S algorithm with credit scale provides a better detection performance.     

嵌入式网关在远程视频监控中的应用研究

设计并实现了一个基于ARM微处理器的CAN/Ethernet嵌入式网关,并将其应用于远程视频监控系统中.监控前端控制摄像头采集视频数据,压缩之后通过CAN/以太网嵌入式网关实现视频数据和控制信息的远程交互.其硬件系统由集成了CAN控制器的ARM微处理器LPC2294、网卡芯片RTL8019AS以及CAN收发器组成.软件...     

嵌入式远程监控系统车载端开发

研究了嵌入式平台下远程监控系统车栽端的开发.依据车栽端功能需求,在Matlab/Simulink环境下搭建了车载端模型,详细介绍了该模型各部分的组成结构,并将模型生成的代码经编译、连接、下栽在硬件平台上运行.最后经过测试,显示了车载端具有数据采集,处理和发送的功能以及良好的实时性和稳定性.