白腹锦鸡雌鸟繁殖期的活动区和栖息地选择

2006年3-9月,利用无线电遥测技术和系统搜索法对四川省石棉县栗子坪自然保护区白腹锦鸡雌鸟的繁殖期活动区和栖息地选择进行了研究.对遥测时间超过4个月的3只雌性个体的研究表明:白腹锦鸡雌鸟的繁殖期活动区面积为(31.16±26.02) hm2,核心区面积为(10.06±8.47) hm2;繁殖鸟的活动区在产卵前后有明显变化,算术中心距离超过300 m,未繁殖鸟不明显.白腹锦鸡雌鸟主要选择较稀疏、稍矮、盖度较大、倒木数少的乔木环境和较密而盖度较大的灌木、草本植物的环境.     

包含广义逆的算子乘积的一些不变性

目的给定3个算子A,B和C,推广了Jürgen Groβ和Yongge Tian在文献Invariance properties of a triple matrix product involving generalized inverses([1]Linear Algebra Appl,2006,417:94-107)中得到的主要结论。方法应用算子分块矩阵的技巧和解算子方程的思想进行推导,这与Jürgen Groβ和Yongge Tian的方法完全不同。结果得出了文献[1]的主要结论在无限维Hilbert空间中成立的充要条件。结论得到了与X选取无关的3个算子AXC乘积的一些不变性质,其中X是算子B的不同种类的广义逆。     

末制导雷达干扰技术的系统仿真设计

在分析几种常见末制导雷达干扰技术实现过程特征的基础上,获得具有一定普适性的仿真场景抽象,提出了一种针对单脉冲末制导雷达干扰技术对抗仿真系统构建方法,给出了仿真实现的总体框架,并对具体实现过程中的位置更新、坐标变换、回波产生、波束调制等关键问题进行了论述.使用该方法,构建了多假目标拖引欺骗干扰仿真系统,对该干扰样式实现的主要参数进行了设计,并以距离拖引为例进行了验证.仿真结果验证了该仿真系统构建方法的正确性和有效性.     

Compact fiber-optic diode-laser sensor system for wide-dynamic-range relative humidity measurement

A compact fiber-optic diode-laser sensor system for measuring relative humidity is studied. In such a system, a distributed feedback laser lasing near 1877 nm is used as light source while a high-precision Pt resistance as temperature sensor, an accuracy of 0.1% relative-humidity can be achieved. The laser sensor system is able to lock to the absorption peak and calculate the density of water vapor without any additional reference measurements. Using programs built in to the microcontroller unit, the laser system can switch functions between direct measurement at high density and second-harmonic detection at low density. The system can switch between the two modes automatically and work in a wide dynamic range.     

不同因素对动物家域面积的影响

对动物家域大小的研究是动物生态学与保护生物学的基本研究领域之一,对评价动物的生境质量、生境选择、栖息地负载量具有重要意义.迄今对动物家域的研究主要集中在家域面积的测算方法,但研究不同因素对动物家域面积的影响是更重要的生态学问题.文章综述了不同因素对动物家域面积影响的研究成果,包括性别、季节、种群密度、捕食风险、婚配制度和人类影响,以促进该领域的进一步发展.     

光学相控阵相位驱动电路的设计与实现

为了驱动光学相控阵(OPA: Optical Phased Array)实现全固态激光雷达的光束扫描,设计并实现了两种用于OPA相位控制的驱动电路,其中包括电流源驱动和电压源驱动两种驱动电路.采用PC(Phase Control)端的上位机软件控制连接到电流源或电压源的单片机,对OPA各路相位控制端的电流或电压进行调节...     

Mn:Fe:LiNbO3晶体全息存储的研究

本文用双光子记录法测试Mn:Fe:LiNbO3晶体二波耦合衍射效率.分别用绿光和红光作为记录光,紫外光作为选通光进行全息记录.用绿光作为记录光比用红光作为记录光得到的全息记录灵敏度提高约一个数量级,并且动态范围也有一定的提高.对记录光、选通光的作用和双掺杂Mn:Fe:LiNbO3晶体双光子全息存储的机理进行研究.     

约束的移动对象最近邻轨迹查询

提出了一种新的查询概念,即约束的移动对象最近邻轨迹(constrained nearest neighbor search on moving objects trajectories,简称CNNMOT)查询.针对两阶段算法分阶段处理最近邻查询和范围查询的缺陷,对传统空间最近邻算法进行了改进和扩展,使其能够合并到一步完成,并对传统的mindist定义进行了修改.实验结果表明:该改进算法能较好地克服两阶段算法的缺陷,并在数据量较大时仍保持较高的性能.     

Space use by two arboreal rodent species in a Neotropical cloud forest

Studying animal space use patterns can help increase our understating of ecological processes such as competition and community dynamics. To quantify space and habitat use in an isolated and patchy cloud forest community in Mexico, we evaluate the vertical stratification, home range and habitat selection of two arboreal rodents: Habromys schmidlyi and Reithrodontomys microdon. Using live-traps at ground level and different forest strata, we radio-equipped nine individuals of H. schmidlyi and seven of R. microdon, and evaluated fine-scale space use and broad-scale habitat selection between cloud forest and oak forest. We found an average home range of 0.24 ha for R. microdon males and 0.72 ha for females, with a preference for higher canopy in the cloud forest. For H. schmidlyi the home range was 0.83 ha for males and 0.29 ha for females, with a preference for the understory level in the cloud forest. Home range is three-dimensional for these rodents, so we estimate that on average, individuals of both species used eight trees in the time they were tracked. We characterised the vegetation at the trap sites, and used recursive partitioning to relate the presence of different plants with the probability of finding these two species and Peromyscus aztecus, a third rodent species also present in the area and considered in our analysis of habitat use. The highest probability of finding R. microdon (96%) was related to the presence of Brachythecium occidentale and Renauldia mexicana, while H. schmidlyi (95%) was found in close proximity to Fabronia ciliaris and Everniastrum. We highlight the importance of arboreal trapping in biodiversity assessments, and the role of arboreal rodents in maintaining tropical forest ecosystems. We suggest that these rodent species could avoid or reduce competition by using the vertical strata differentially, and that H. schmidlyi and R. microdon can be biological indicators for cloud forest management and conservation.     

Predicting Stock Return Volatility: Can We Benefit from Regression Models for Return Intervals?

We study the performance of recently developed linear regression models for interval data when it comes to forecasting the uncertainty surrounding future stock returns. These interval data models use easy‐to‐compute daily return intervals during the modeling, estimation and forecasting stage. They have to stand up to comparable point‐data models of the well‐known capital asset pricing model type—which employ single daily returns based on successive closing prices and might allow for GARCH effects—in a comprehensive out‐of‐sample forecasting competition. The latter comprises roughly 1000 daily observations on all 30 stocks that constitute the DAX, Germany's main stock index, for a period covering both the calm market phase before and the more turbulent times during the recent financial crisis. The interval data models clearly outperform simple random walk benchmarks as well as the point‐data competitors in the great majority of cases. This result does not only hold when one‐day‐ahead forecasts of the conditional variance are considered, but is even more evident when the focus is on forecasting the width or the exact location of the next day's return interval. Regression models based on interval arithmetic thus prove to be a promising alternative to established point‐data volatility forecasting tools. Copyright ©2015 John Wiley & Sons, Ltd.