An application of MODIS data to snow cover monitoring in a pastoral area: A case study in Northern Xinjiang, China

Snow is an important land cover on the earth's surface. It is characterized by its changing nature. Monitoring snow cover extent plays a significant role in dynamic studies and prevention of snow-caused disasters in pastoral areas. Using NASA EOS Terra/MODIS snow cover products and in situ observation data during the four snow seasons from November 1 to March 31 of year 2001 to 2005 in northern Xinjiang area, the accuracy of MODIS snow cover mapping algorithm under varied snow depth and land cover types was analyzed. The overall accuracy of MODIS daily snow cover mapping algorithm in clear sky condition is high at 98.5%; snow agreement reaches 98.2%, and ranges from 77.8% to 100% over the 4-year period for individual sites. Snow depth (SD) is one of the major factors affecting the accuracy of MODIS snow cover maps. MODIS does not identify any snow for SD less than 0.5 cm. The overall accuracy increases with snow depth if SD is equal to or greater than 3 cm, and decreases for SD below 3 cm. Land cover has an important influence in the accuracy of MODIS snow cover maps. The use of MOD10A1 snow cover products is severely affected by cloud cover. The 8-day composite products of MOD10A2 can effectively minimize the effect of cloud cover in most cases. Cloud cover in excess of 10% occurs on 99% of the MOD10A1 products and 14.7% of the MOD10A2 products analyzed during the four snow seasons. User-defined multiple day composite images based on MOD10A1, with flexibilities of selecting composite period, starting and ending date and composite sequence of MOD10A1 products, have an advantage in effectively monitoring snow cover extent for regional snow-caused disasters in pastoral areas.     

Usb复合设备实现Usb完全覆盖测试的探讨

Usb设备控制芯片或者控制器硬件模块开发的完成意味着测试的开始,通过对Usb测试流程的分析,提出了采用Usb多接口复合设备对Usb设备功能进行完全覆盖测试的方案,简化了测试的结构和流程,提高了Usb测试的效率和可实施性。     

Accurate evaluation of Green’s functions in a layered medium by SDP-FLAM

Based on local Taylor expansions on the complex plane, a method for fast locating all modes (FLAM) of spectral-domain Green’s Functions in a planar layered medium is developed in this paper. SDP-FLAM, a combination of FLAM with the steepest descent path algorithm (SDP), is employed to accurately evaluate the spatial-domain Green’s functions in a layered medium. According to the theory of complex analysis, the relationship among the poles, branch points and Riemann sheets is also analyzed rigorously. To inverse the Green’s functions from spectral to spatial domain, SDP-FLAM method and discrete complex image method (DCIM) are applied to the non-near field region and the near filed region, respectively. The significant advantage of SDP-FLAM lies in its capability of calculating Green’s functions in a layered medium of moderate thickness with loss or without loss. Some numerical examples are presented to validate SDP-FLAM method. Supported by the National Natural Science Foundation of China (Grant No. 60621002), and the State Key Development Program for Basic Research of China (Grant No. 2009CB320200)     

AutoSyn: A new approach to automated synthesis of composite web services with correctness guarantee

How to compose existing web services automatically and to guarantee the correctness of the design(e.g. freeness of deadlock and unspecified reception,and temporal constraints) is an important and challenging problem in web services. Most existing approaches require a detailed specification of the desired behaviors of a composite service beforehand and then perform certain formal verification to guarantee the correctness of the design,which makes the composition process both complex and time-consuming. In th...     

碳黑/聚乙烯醇电纺复合纤维的制备与气敏特性研究

通过碳黑(CB)/聚乙烯醇(PVA)混合溶液的电纺,制备了掺纳米CB的PVA复合纤维,用扫描电镜(SEM)观察了它的形貌。CB/PVA复合纳米纤维的形貌取决于混合物中CB的含量。随CB含量的增加,CB颗粒在纤维中的分布逐渐变得均匀;最佳CB/PVA的质量比为3∶10;继续增加CB含量,CB颗粒聚合成团析出,杂乱分布于PVA纤维中。乙醇蒸气测试表明:质量比为3∶10的CB/PVA纤维具有灵敏度高、响应恢复快等特点。     

基于声发射和神经网络的复合材料冲击定位

为了提高复合材料结构冲击定位的精度和实时性,基于声发射和神经网络技术,提出了复合材料结构冲击定位两步法,以压电陶瓷（PZT）和自制信号采集系统替代商用声发射仪器,实现了一种能够高精度、实时、在线监测冲击的系统。用小波变换求出原点处冲击源传播到各传感器的波达时间差,用这组时间差修正其他位置上的冲击源到达各传感器的波达时间,利用修正后的波达时间,根据四点圆弧定位算法得到冲击源坐标,实现初步定位;将所求出的位置坐标作为神经网络的输入,训练之后的神经网络可以准确预测冲击位置,实现精确定位。在复合材料板上的试验表明：该方法能快速、准确地识别出冲击位置。     

铝电磁连续铸轧改进型复合磁场控制系统

针对现有铝电磁连续铸轧复合磁场控制系统存在的变频范围窄、控制不稳定等问题,通过分析电磁铸轧机理,采用SPWM交-直-交变频的设计方案。同时,由于现有控制系统是一开环系统,电磁铸轧铝板特性参数难以在线检测,提出建立基于标准支持向量机的晶粒度软测量模型的思想,并给出了基于软测量模型的形式化描述、设计原则及设计步骤。实验结果表明,改进后的系统能产生符合工艺要求的复合磁场,电磁场频率的作用范围为10～25Hz,换相周期数为1～5,谐波分量较小;同时生产出的铝板组织均匀,晶粒度达到1级水平。     

传统织物的一次性设计

通过对纤维艺术的学习与研究,我对纤维构成织物的设计有了进一步的思考。在传统编织基础上不断发展起来的现代纤维艺术,一方面在艺术领域得到了有目共睹的长足发展,另一方面在市场经济下也不断地回归实用与设计。在纤维构成织物的设计中包括直接完成半成品或成品的一次性设计和在此基础上进行的二次性设计。尤其,对"传统织物的一次性设计"进行研究是很有必要的。     

KGPS可控硅中频电源的改造实践

KGPS中频电源投产7年以来,故障频繁,维修工作量大,设备的各项性能技术指标均难以满足优质银品生产的需要,必须进行改造。在充分利用原有中频电源设备的基础上,对KGPS中频电源控制系统进行了改造,改造后设备性能稳定,适应负载变化的能力强,投运后获得显著的经济效益,每年节约电能35640KW．h,节约电费1．782万元,节约维修费用1．2万元,同时生产效率提高30％,并增加了产能。     

模式识别和支持向量机在复合材料优化设计中的研究和应用

论述了复合材料设计及优化的基本研究方法,介绍模式识别和支持向量机人工智能法,举例详述复合材料设计及优化中的两种智能法,总结两种智能融合法在复合材料优化设计中的分类、建模、预测等基本研究方法和应用。举例说明模式识别和支持向量机在复合材料优化设计中重要的研究价值。最后对该领域的发展提出若干建议。