Spatiotemporal variations in litter mass and their relationships with climate in temperate grassland: A case study from Xilingol grassland,Inner Mongolia (China)

Clarifying spatiotemporal variations of litter mass and their relationships with climate factors will advance our understanding of ecosystem structure and functioning in grasslands. Our objective is to investigate the spatiotemporal variations of litter mass in the growing season and their relationships with precipitation and temperature in the Xilingol grassland using MOD09A1 data. With widely used STI (simple tillage index), we firstly estimated the litter mass of Xilingol grassland in the growing season from 2000 to 2014. Then we investigated the variations of litter mass in the growing season at regional and site scales. We further explored the spatiotemporal relationships between litter mass and precipitation and temperature at both scales. The litter mass increased with increasing mean annual precipitation and decreasing mean annual temperature at regional scale. The variations of litter mass at given sites followed quadratic function curves in the growing season, and litter mass generally attained maximums between August 1 and September 1. Positive spatial relationship was observed between litter mass variations and precipitation, and negative spatial relationship was found between litter mass variations and temperature in the growing season. There was no significant relationship between inter-annual variations of litter mass and precipitation and temperature at given sites. Results illustrate that precipitation and temperature are important drivers in shaping ecosystem functioning as reflected in litter mass at regional scale in the Xilingol grassland. Our findings also suggest the action of distinct mechanism in controlling litter mass variations at regional and sites scales.     

Super View-1-China's First Commercial Remote Sensing Satellite Constellation with a High Resolution of 0.5 m

Super View-1 satellite constellation(Super View-1 for short) is the first commercial remote sensing constellation with a resolution down to 0.5 m. It's an important part of the national spatial information infrastructure construction. It will play an important role for the global users providing remote sensing data, application solutions and remote sensing value-added services with its high-resolution and 24-hour observation capability. At present, 4 satellites of the constellation have been successfully launched and networked on orbit. The services cover surveying and mapping, land resource surveying, urban planning, agriculture, forestry, water conservancy, geological mining, environmental monitoring, defense, disaster reduction along with other traditional industries. There are also great potential applications in Mobile Internet, LBS, Smart city, insurance and other emerging professions. The successful operation of Super View-1 breaks the overseas monopoly for commercial high-resolution remote sensing satellite imagery in the China market. It's one of the major achievements in China space science and technology by actively exploring the development of commercial remote sensing markets, which is of strategic significance to the development of China remote sensing satellite business.     

星载GPS天线相位中心偏差对定位精度影响的试验方法研究

介绍星载GPS天线相位中心偏差的概念,简要分析GPS天线相位中心变化对GPS定位精度的影响,并建立相应的数学模型。利用已有的多台星载GPS天线、载波相位测量方式的星载GPS接收机,进行GPS天线相位中心偏差测试以及接收机绝对定位精度、相对定位精度测试,测量、统计天线相位中心偏差与GPS接收机绝对定位精度和相对定位精度的对应数据,对误差模型进行验证。     

环氧类韧性耐烧蚀防热涂层的研制与表征

针对现有环氧类防热涂层韧性差、不耐烧蚀的缺点,设计了一种环氧类防热涂层--TR-48.测试了其基本性能及3-5个批次的典型性能,并与国外现有涂层进行了比较.结果证明:TR-48具有韧性好、强度高、耐烧蚀等特点;其中扭伸强度为8.7-11.2 MPa,伸长率为6.8%-12.2%,TG分析800℃残碳率为51%,800℃马弗炉烧蚀5 min残碳率为38%-47%.利用SEM、DSC表征了涂层的烧蚀过程,发现600-800℃存在烧结反应.利用液氧/煤油发动机和电弧风洞考核试验考核了涂层在高温、高速气流环境下的表现,结果表明该涂层具有较好的抗冲刷及防热性能.     

Aircraft vulnerability modeling and computation methods based on product structure and CATIA

Survivability strengthening/vulnerability reduction designs have become one of the most important design disciplines of military aircraft now. Due to progressiveness and complexity of modern combat aircraft, the existing vulnerability modeling and computation methods cannot meet the current engineering application requirements. Therefore, a vulnerability modeling and computation method based on product structure and CATIA is proposed in sufficient consideration of the design characteristics of modern combat aircraft. This method directly constructs the aircraft vulnerability model by CATIA or the digital model database, and manages all the product components of the vulnerability model via aircraft product structure. Using CAA second development, the detailed operations and computation methods of vulnerability analysis are integrated into CATIA software environment. Comprehensive assessment data and visual kill probability Iso-contours can also be presented, which meet the vulnerability analysis requirements of modern combat aircraft effectively. The intact vulnerability model of one hypothetical aircraft is constructed, and the effects of redundant technology to the aircraft vulnerability are assessed, which validate the engineering practicality of the method.     

Automatic target recognition for hyperspectral imagery using high-order statistics

Due to recent advances in hyperspectral imaging sensors many subtle unknown signal sources that cannot be resolved by multispectral sensors can be now uncovered for target detection, discrimination, and identification. Because the information about such sources is generally not available, automatic target recognition (ATR) presents a great challenge to hyperspectral image analysts. Many approaches developed for ATR are based on second-order statistics in the past years. This paper investigates ATR techniques using high order statistics. For ATR in hyperspectral imagery, most interesting targets usually occur with low probabilities and small population and they generally cannot be described by second-order statistics. Under such circumstances, using high-order statistics to perform target detection have been shown by experiments in this paper to be more effective than using second order statistics. In order to further address a challenging issue in determining the number of signal sources needed to be detected, a recently developed concept of virtual dimensionality (VD) is used to estimate this number. The experiments demonstrate that using high-order statistics-based techniques in conjunction with the VD to perform ATR are indeed very effective     

焊缝凝固时的应力应变过程分析

本文在二维情况下针对SUS 310S型奥氏体不锈钢焊接接头,利用非线性热弹塑性有限元分析方法建立了焊缝在凝固时所受应力应变的计算模型。计算结果表明:焊缝金属在凝固过程中受到横向拉伸应变的作用;起始端部所受的应变较大;离端部一定距离后的焊缝所受的应变基本上相同;焊缝金属凝固结束时受到的拉伸应变约为0.4％。     

Formation tracking control for time-delayed multi-agent systems with second-order dynamics

In this paper, formation tracking control problems for second-order multi-agent systems (MASs) with time-varying delays are studied, specifically those where the position and velocity of followers are designed to form a time-varying formation while tracking those of the leader. A neigh-boring relative state information based formation tracking protocol with an unknown gain matrix and time-varying delays is presented. The formation tracking problems are then transformed into asymptotically stable problems. Based on the Lyapunov-Krasovskii functional approach, condi-tions sufficient for second-order MASs with time-varying delays to realize formation tracking are examined. An approach to obtain the unknown gain matrix is given and, since neighboring relative velocity information is difficult to measure in practical applications, a formation tracking protocol with time-varying delays using only neighboring relative position information is introduced. The proposed results can be used on target enclosing problems for MASs with second-order dynamics and time-varying delays. An application for target enclosing by multiple unmanned aerial vehicles (UAVs) is given to demonstrate the feasibility of theoretical results.     

盾牌击打试验机的研究

在成功研制盾牌击打试验机的基础上，对盾牌击打试验机能量计算所涉及的理论进行了分析，用击打中心理论解释了击打棍的击打位置和击打能量之间的关系，并给出了试验的具体数据。