对广电装维人员的一些要求

随着三网融合不断推进，各个运营商作为通讯的服务部门，除了产品的竞争，服务的竞争也变得非常重要，而服务的竞争就体现在产品的售前与售后服务，装维人员作为产品服务的执行者，提升服务水平，提高用户的满意度，就提升了广电的市场竞争力。下面谈谈对装维人员的一些要求。     

Excel中的函数在数据统计中的应用

在日常工作、学习、生活中,经常要对符合条件的数据进行统计,以了解数据的分布情况,便于确定下一步将要采取或执行的措施.     

云杉八齿小蠹Ips typographus L.虚拟模型构建方法研究

本文以云杉八齿小蠹Ips typographus Linnaeus为例,经标本选取,观察虫体整体形态,绘制整体结构草图,电子显微镜观察局部、得到局部数字图像,分别建立虫体每一部分的高精度细节。把模型每部分拼装在一起组成整体模型,构建出了云杉八齿小蠹三维虚拟昆虫数字化模型。     

Technical advancements and significance of circumlunar return and reentry spacecraft

As one of the vital steps in the 3rd phase of China’s lunar exploration program(CLEP),the circumlunar return and reentry spacecraft,developed by China Academy of Space Technology(CAST),is used to demonstrate the key technologies of hyper-speed return and reentry spacecraft.The system configuration and flight process are presented in this paper,as well as the analysis of mission characteristics,the key technologies and the technical advancement during the RD progress.The significance of circumlunar return and reentry spacecraft is given at the end.     

SDN中基于KMOBPSO的高可靠性控制器部署算法

针对SDN中控制器系统的单节点故障问题,兼顾系统成本和系统时延,应用N+1冗余备份模型来提高SDN控制器部署的可靠性,并将其抽象为多目标优化问题.同时,提出了一种融合K-means聚类算法和遗传算子的多目标二进制粒子群算法——KMOBPSO算法,以求解SDN控制器高可靠性部署问题的解.仿真结果表明,所提算法具有求解精度高、分布均匀、沿Pareto前沿面覆盖广的特点,能够显著提高SDN中控制器部署的可靠性.     

基于VISSIM的有轨电车交叉路口信号优先策略研究

建立基于VISSIM仿真系统的有轨电车线路交叉路口信号优先仿真模型,通过比较不同信号优先策略下的有轨电车运行效果、以及对冲突相位车辆通行的影响,分析不同交通条件下所适用的有轨电车信号优先策略。     

军工企业成本核算系统初探

随着军工企业业务的日益发展,军品科研项目、民品科研项目、型号批次产品生产错中复杂,使用传统的财务成本核算方式无法精细化核算每个项目、产品成本及收益,同时也无法对员工进行精细化绩效考核,为了实现精细化控制项目、产品成本,本文章提出了军工企业成本核算系统实现,从而实现军工企业成本精细化核算。     

铝合金熔炼铸造能源与资源节约

在铝材生产中,熔炼、铸造工序是能源与资源消耗多的工序,因此,节约资源、降低烧损与能耗有着重要意义。降低能耗还可以相应地减少温室气体与有害、有毒物质排放,对环保有利。中国当前铝合金熔炼铸造能源与资源节约的主要措施:调整加工用锭坯供应结构,大幅提高电解铝厂供应的锭坯,由2013年供应的42%提高到"十三五"末的65%-70%;加快走出去的力度,到国外去办铝厂,将在国外生产的铝合金锭坯运回来,争取2020年出口的铝材与铝制品全部以进口锭坯加工,这是最大的资源与能源节约;加强废铝回收与有效再生利用;加强创新,大力采用新装备、新技术与新工艺;加强管理,精心操作,管理中还有较大的能源与资源节约潜力。     

葡萄根癌病基因测序即将完成

<正>葡萄根癌病(Crown gall disease)又称冠瘿病,是一种细菌性病害,会使葡萄根部形成菜花样的肿瘤状物,影响根系对养分的吸收,对葡萄造成严重危害。美国纽约《记事报》(Chronicle Express)报道称,罗切斯特理工学院(Rochester Institute of Technology,N.Y.)的研究团     

Compressed sensing digital receiver and orthogonal reconstructing algorithm for wideband ISAR radar

This paper proposes a novel design of intermediate frequency(IF) digital receiver for wideband inverse synthetic aperture radar(ISAR) based on compressed sensing(CS). For the convenience in engineering application, we use random sampling in the digital receiver and make it possible to digitize the wideband IF signal using a commercial off-the-shelf analog-to-digital converter with sub-Nyquist sample rate. Besides, a novel basis for the sparse representation of real-valued ISAR radar echoes is built in this paper, and an orthogonal CS reconstructing algorithm is proposed based on this. Using our proposed method, the complex-valued range profile of target can be directly reconstructed from the subsampled real raw echo. The phase information of target range profile, which is very important for the coherent processing in ISAR imaging, is well reserved during the reconstruction. As a result, the down converter and matched filter, which are essential in conventional radar receiver, can be eliminated in our CS digital receiver. A series of simulation validates our design and demonstrates the feasibility of the sub-Nyquist sampling. The simulation results of ISAR imaging verify the validity and superiority of the proposed orthogonal reconstructing method.