CropStraw Fire Remote Sensing Monitoring and Its Algorithm Implementation

in order to obtain the information and achieve the effective control of crop straw fire spatial distribution in Central China Region.The MODIS L1B remote sensing datasets during 2014 for the main data source in this article,and combined with land use data,the farmland of Central China Region was taken as study region.Based on the enhanced contextual fire remote sensing detection algorithm,and make full use of the theoretical knowledge of quantitative remote sensing and Geospatial Data Abstraction Library (GDAL)and other technical means,to achieve the crop straw fire recognition in Central China Region.Using Ministry of Environmental Protection of the People’s Republic of China release the daily newspaper of crop straw fire in China and the standard fire products (MYD14)of MODIS for the comparative analysis of the quantitative and spatial.The results indicate that the algorithmof this paper can achieve crop straw fire remote sensing monitoring of this study region effectively,and the parameters can be adjusted in real time based on the characteristic of the study region,and improve the automation and working efficiency of crop straw fire monitoring.     

HIMAC协处理器流量控制设计与实现

为了防止非法的业务流消耗系统过多的资源,并且控制每个端口占用的带宽,需要对进入HINOC系统的业务流流量进行限制.本文提出了HINOC MAC (HIMAC)的流量控制方案.本设计的特别之处在于,它允许根据各个端口业务量的大小,动态地调整分配给它们的带宽,并且设计方案简单可行.     

Discriminative Sketch‐based 3D Model Retrieval via Robust Shape Matching

We propose a sketch‐based 3D shape retrieval system that is substantially more discriminative and robust than existing systems, especially for complex models. The power of our system comes from a combination of a contour‐based 2D shape representation and a robust sampling‐based shape matching scheme. They are defined over discriminative local features and applicable for partial sketches; robust to noise and distortions in hand drawings; and consistent when strokes are added progressively. Our robust shape matching, however, requires dense sampling and registration and incurs a high computational cost. We thus devise critical acceleration methods to achieve interactive performance: precomputing kNN graphs that record transformations between neighboring contour images and enable fast online shape alignment; pruning sampling and shape registration strategically and hierarchically; and parallelizing shape matching on multi‐core platforms or GPUs. We demonstrate the effectiveness of our system through various experiments, comparisons, and user studies.     

基于语法树的批价优惠研究与设计

以中国电信行业计费系统为研究对象,从批价优惠业务需求层面进行分析,提出了基于语法树的批价优惠方法,并在理论和实践上给出了一个电信行业中应用的解决方案。     

路由器的体系结构及改进意见

文章简单介绍了路由器的体系结构,以及数据交换的路径和方法。并且以ＣＩＳＣＯ公司的低档、中档、高档路由器为例,介绍当前为提高路由交换的速度而采用的新交换技术。     

基于原有测压点的供水管网压力监测点优化布置研究

为优化布置供水管网压力监测点,在原有测压点的基础上,结合经验法和聚类分析,进行供水管网压力监测点优化布置方法研究,并提供评价和检验压力监测点布置方案的思路。以南方某市供水管网为例,对最高日最高时工况进行压力监测点的优化布置,选取最高日平均时为检验工况,校验结果表明,压力监测点优化布置方案可覆盖最高日平均时工况下88.8%节点。     

基于TMS320C6678的语种识别并行算法设计与实现

针对语种识别在实际应用中的实时性需求,在分析语种识别算法原理和多核DSP任务并行的基础上,设计了一种基于TMS320C6678的语种识别算法并行实现方法。该方法实现了任务级并行流水和核间高效通信。实验结果表明,该方法可靠、有效,并且使该系统至少能够完成132路的实时识别任务。     

多变量时间序列的短期负荷预测模型及其方法研究

电力系统负荷预测是日常生活中电力系统调度部门的一项重要工作,预测精度的高低直接影响到电力系统的安全性、经济性和供电质量.混沌理论中,负荷预测模型的建立通常由单变量时间序列的相空间重构来实现,但实际过程中往往难以确定是否包含了重构动力系统的全部信息,特别是在有限时间序列存在噪声时.因此,将单变量时间序列方法拓展到多变量时间序列中,进行多变量时间序列的相空间重构,计算了各时间序列的延迟时间和嵌入维数,建立了预测模型.研究结果表明多变量时间序列的预测效果有较大提高.     

基于图像分析的数字化油墨预置技术

针对印刷数字化流程中的油墨预置技术,提出一种基于图像分析的油墨预置技术。选择RIP(Raster Image Processor)后的1bit TIFF图像为基础数据,提取各墨区对应的网点面积率;建立了网点面积率和墨键开度的数学模型,并采用最小二乘法求解模型参数,从而实现油墨预置。实验结果表明,所求取的油墨预置量可以较好地拟合原来的数据,采用该技术可以提高印刷工作效率,减少印刷浪费。