短波chirp探测的遗传退火频率分配算法研究

针对短波chirp探测系统的通信网络频率分配问题,建立了合理的干扰模型;利用系统所提供的测量参数,结合基本遗传算法,同时进行模拟退火操作以克服基本遗传算法易陷入局部最优解的不足,并最终趋于全局最优化;仿真结果表明,该算法在寻优性、收敛速度和稳定性等方面都要优于基本遗传算法。     

基于uIP与AJAX的动态Web服务器设计

针对远程信息监测系统中数据的实时采集更新问题,将AJAX和CGI应用到嵌入式Web服务器的设计中,实现了服务器与浏览器之间的动态信息交互。本文首先分析了uIP协议栈,并在协议栈之上设计了Web服务器,然后利用CGI服务程序处理来自客户端的XMLHttpRequest对象请求,实现动态Web功能。现场实验结果表明,嵌入式Web服务器降低了服务器端的资源开销,提高了响应速度。     

在数字化校园背景下推进人事管理工作信息化

本文主要分析在数字化校园背景下,人事管理工作为什么要实现信息化以及人事管理系统建设的具体方案。     

网络蠕虫的检测防治技术研究

随着网络系统应用的普及和其复杂多变性,网络蠕虫已对网络安全造成极其严重的威胁。本文介绍了网络蠕虫的定义和检测策略,对几种常用的网络蠕虫检测防御技术进行了比较,分析了它们的优点和不足,同时对未来网络蠕虫检测防治技术研究提出了几点建议。     

漫射红外技术的智能家居无线局域网设计

分析了红外技术在短距离无线通信中的优势,并将其应用在智能家居局域网中;结合安华高科技公司的HSDL-3020红外收发模块搭建了硬件电路,构成网络的主从节点;介绍了网络组建的过程,包括IrDA协议栈结构、数据编码格式、链路连接、网络管理机制等。本设计实现了对家居设备的统一管理,具有较高的应用价值。     

高职计算机网络技术专业课程体系建设的实践与创新

本文探讨了高职院校专业课程体系构建的原则、方法和步骤,具体对计算机网络技术专业课程体系的构建进行了阐述,从专业定位、专业建设思路、课程群、岗位群、行业标准与认证、课程资源的开发等方面进行了案例分析。     

Selective ensemble extreme learning machine modeling of effluent quality in wastewater treatment plants

Real-time and reliable measurements of the effluent quality are essential to improve operating efficiency and reduce energy consumption for the wastewater treatment process.Due to the low accuracy and unstable performance of the traditional effluent quality measurements,we propose a selective ensemble extreme learning machine modeling method to enhance the effluent quality predictions.Extreme learning machine algorithm is inserted into a selective ensemble frame as the component model since it runs much faster and provides better generalization performance than other popular learning algorithms.Ensemble extreme learning machine models overcome variations in different trials of simulations for single model.Selective ensemble based on genetic algorithm is used to further exclude some bad components from all the available ensembles in order to reduce the computation complexity and improve the generalization performance.The proposed method is verified with the data from an industrial wastewater treatment plant,located in Shenyang,China.Experimental results show that the proposed method has relatively stronger generalization and higher accuracy than partial least square,neural network partial least square,single extreme learning machine and ensemble extreme learning machine model.     

Commercial objectives,technology transfer,and systems analysis for fusion power development

Fusion is an essentially inexhaustible source of energy that has the potential for economically attractive commercial applications with excellent safety and environmental characteristics. The primary focus for the fusion-energy development program is the generation of centralstation electricity. Fusion has the potential, however, for many other applications. The fact that a large fraction of the energy released in a DT fusion reaction is carried by high-energy neutrons suggests potentially unique applications. These include breeding of fissile fuels, production of hydrogen and other chemical products, transmutation or burning of various nuclear or chemical wastes, radiation processing of materials, production of radioisotopes, food preservation, medical diagnosis and medical treatment, and space power and space propulsion. In addition, fusion R&D will lead to new products and new markets.Each fusion application must meet certain standards of economic and safety and environmental attractiveness. For this reason, economics on the one hand, and safety and environment and licensing on the other hand, are the two primary criteria for setting long-range commercial fusion objectives. A major function of systems analysis is to evaluate the potential of fusion against these objectives and to help guide the fusion R&D program toward practical applications. The transfer of fusion technology and skills from the national laboratories and universities to industry is the key to achieving the long-range objective of commercial fusion applications.     

组合肋板式陶瓷换热器材质的研究

以耐火粘土、高矾土及滑石为原料研制了堇青石基陶瓷材料,并对其组织和性能尤其是抗热震性进行了研究。结果表明,堇青石基上分布着针状莫来石的材料具有更高的抗热震性。对评价换热器用陶瓷材料抗热震性参数进行了讨论,指出抗热震损伤参数R″″更适合于作为优选陶瓷换热器用材质的指标。     

曝光数据流优化问题的蒙特卡罗算法

集成工艺中控制图形发生器产生掩模图形的数据流文件的数据排列顺序优化,是一个其结点数可达数千个之多的大规模旅行商问题(从镜头架的位置,即每个矩形的矩心为结点),常规算法早已不适用。本文采用多阶段蒙特卡罗算法并加以改进,补充了“分层优化模式”,邻接结点的预合并和在各个阶段末提取共同子路径并删去相关结点等一系列逐步缩小问题规模的措施,形成了一个实用的优化算法。相应的软件已成功地应用于薄膜磁头的数据流文件的优化。