超声珩磨装置振动子系统的振动特性研究

为进一步研究超声珩磨装置的挠性杆-油石座振动子系统的"局部共振"现象,把挠性杆和油石座视为动力学意义下的独立环节,将超声珩磨装置的挠性杆-油石座振动子系统简化为由挠性杆和油石座环节串联组成的振动系统。以等截面直杆的振动理论为基础,建立了此振动子系统的自然频率和振动位移的计算公式。结果表明:理论计算与试验结果比较接近,能够方便地解释超声珩磨装置振动子系统的"局部共振"现象,为合理设计挠性杆-油石座振动子系统的参数提供了理论依据。     

卫星遥感数据在流域数字化中的应用

流域要素数据的明显不足，制约着诸多水利工作的发展，采用当今信息技术，实施流域数字化，满足水利工作对流域要素数据的迫切需要，从适应快速发展的水利事业，卫星对地观测具有获取信息丰富，快速和可持续观测的优势，是流域数字化的重要支持技术之一，以遥感数据作为主要数据源，结合地面实测数据，在遥感图象处理，数据库，GIS等技术支持下，全面，准确，快速地获取流域要素数据，对流域数字化的实现起着至关重要的作用。     

T-S模糊系统的改进型H_∞控制器

为了研究T-S模糊系统的H∞控制问题,提出了一种T-S模糊系统的改进型二次稳定条件.与已有的相关结论相比,该条件进一步考虑到模糊子系统之间的相互关系,并将其表示为一系列线性矩阵不等式,因此,具有更小的保守性.以改进型二次稳定条件为基础,给出T-S模糊系统H∞控制器存在条件,控制器参数可以通过求解一组线性矩阵不等式获得.仿真计算结果表明,所提方法是有效的,同时比已有方法具有更广的适用范围.     

基于USB3.0总线的卫星数传基带数据接收模块设计

卫星数传基带数据接收是卫星数传系统测试的基础。通过对USB3.0总线协议的分析,提出了一种基于USB3.0总线的卫星数传基带数据接收模块的设计方法。该模块以FPGA和USB 3.0接口芯片（CYUSB3014）为核心,采用FPGA实现数据流的同步、加扰、RS译码操作,采用USB3.0接口芯片实现数传数据接收。经试验证明,该模块结合PC机,数据接收速率可到2.1Gbps,与主流基于CPCIe\VPX高速串行总线的数据接收平台相比,成本降低显著,便携性高。     

浅谈远程教育教学站基础设施的建设

随着高校远程教育工作的展开,远程教育这一新型教育模式正逐渐被人们认同和接受,由于网络发展的不平衡性,网络教育初步只能靠建立教学站的方式来完成,然而,如何构建远程教育教学站,从远程教育学习环境的需求出发,论述了教学站基础设施的建设。     

基于谱图预处理的卫星通信信号盲检测

传统功率谱检测是建立在噪声谱的均值和方差满足不随频率变化假设基础上的,而实际非协作卫星通信中的噪声谱一般并不满足此假设,导致该方法的检测性能受限。该文用滑动窗最小二乘法对接收信号进行预处理,使噪声谱趋近满足上述假设,由此提出了一种卫星通信信号的盲检测方法,并推导了相对于传统功率谱检测方法的性能改善因子。仿真结果表明：该方法在相同条件下检测性能一般明显优于传统的功率谱检测方法,且具有计算量小、易于实现等优点。     

Agriculture satellite image segmentation using a modified artificial Hopfield neural network

Beekeeping plays an important role in increasing and diversifying the incomes of many rural communities in Kingdom of Saudi Arabia. However, despite the region’s relatively good rainfall, which results in better forage conditions, bees and beekeepers are greatly affected by seasonal shortages of bee forage. Because of these shortages, beekeepers must continually move their colonies in search of better forage. The aim of this paper is to determine the actual bee forage areas with specific characteristics like population density, ecological distribution, flowering phenology based on color satellite image segmentation. Satellite images are currently used as an efficient tool for agricultural management and monitoring. It is also one of the most difficult image segmentation problems due to factors like environmental conditions, poor resolution and poor illumination. Pixel clustering is a popular way of determining the homogeneous image regions, corresponding to the different land cover types, based on their spectral properties. In this paper Hopfield neural network (HNN) is introduced as Pixel clustering based segmentation method for agriculture satellite images.     

An efficient utilization of intermittent surface–satellite optical links by using mass storage device embedded in satellites

Recently, earth observation system by using satellite network has attracted much attention due to its wide coverage and disaster resistance. Although the system is useful for collecting various data, which have an effect on a natural disaster, ecology and so forth, earth observation satellite hardly send the collected observation data to the ground station. This is because that the earth observation satellite needs to orbit near surface of the earth to get high-precision data, and it limited the time that can be used to send the observed data traffic to the ground station. Additionally, the amount of the observed data drastically increase in these days. Thus, we focus on the data relay satellite using optical communication in this network. By relaying observed data to traffic to the relay satellite, which has geostationary orbit, it is possible to increase the chance of sending data for the observation satellite due to the wide coverage of the relay satellite. In addition, laser light that is used in optical communication in satellite network has high frequency and it can deliver large data compared with radio wave. However, laser light is greatly influenced by atmosphere, and optical link capacity between satellite and ground station drastically changes according to weather condition. Therefore, we propose a new data traffic control method to use the network constructed by satellites which has mass storage device effectively according to the condition of optical downlink between satellite and optical ground station. The effectiveness of the proposed method is evaluated with numerical result.     

Design of aperiodic planar arrays for isoflux radiation in GEO satellites by applying evolutionary optimization

The design of an aperiodic planar array is presented in this research. This design of aperiodic arrays considers the reduction of the side lobe level and the isoflux radiation requirements for GEO (Geostationary Earth Orbit) satellite applications. In this way, it is considered four different optimization cases. The first two cases are optimizations of amplitude and phase excitations for the antenna elements in a uniform antenna array and the last two cases are optimizations of positions of the antenna elements and certain number of levels of amplitude excitation in an aperiodic array. In this case, it is proposed a simple new approach combining the main idea of both thinned theory and random arrays approaches. For this optimization problem, the well-known method of Genetic Algorithms (GA) is utilized. The obtained results show the proper performance of the array factor to provide the isoflux radiation and low side lobe level. Depending on the performance requirements, the design of the aperiodic array could lead the satellite hardware to be reduced significantly even more that results presented previously in the literature.     

Validation of coastal sea and lake surface temperature measurements derived from NOAA/AVHRR data

An interactive validation monitoring system is being used at the NOAA/NESDIS to validate the sea surface temperature (SST) derived from the NOAA-12 and NOAA-14 polar orbiting satellite AVHRR sensors for the NOAA CoastWatch program. In 1997, we validated the SST in coastal regions of the Gulf of Mexico, Southeast US and Northeast US and the lake surface temperatures in the Great Lakes every other month. The in situ