自适应有限元的应用和发展

自适应有限元（ＡｄａｐｔｉｖｅＦＥＭ）是一种通用后验误差估计,不断进行网络优化提高计算机精度的数值方法,它是有限元法（ＦＥＭ）的新发展,具有高效率,高可靠性的特点,在现代工程得到了广泛应用,本文分析了自适应有限元的关键技术,总结了其在在国内外的应用情况,并展望了其发展前景。     

模具智能设计系统的集成转换模型

在分析了模具设计专家系统及专家系统和人工神经网络相结合的几种模型基础上,建立了一个基于人工神经网络的智能设计系统模型--模具设计系统的集成转换模型,该模型不仅消除了一般模型的不足,提高了知识的获取和推理效率,而且在一定程度上模拟了"触类旁通"的思维过程和一般模具设计过程。     

传感器网络MAC协议能量有效性的研究与MATLAB的仿真

无线传感器网络由于能量受限,传感器节点的生存周期取决于节点的能量消耗。本文分析了典型的S-MAC协议和T-MAC协议,研究了这些协议的工作原理。针对节能问题,建立了能量消耗的数学模型。对无线传感器网络的MAC协议,进行了MATLAB软件仿真,做出了关于能耗问题的曲线图,仿真结果表明在同等条件下T-MAC协议耗能较少,且能较好的满足通信的时延性。     

四横四纵高铁网络对航空的分流模型及其应用

随着四横四纵高铁网络的逐年开通运行,国内数以百计的城市对航线客流量都会受到高铁开通的分流影响。建立高铁网络对航空旅客的分流模型,使其能够定量地分析高铁网络对航空客运市场的整体分流影响或单一高铁线路开通时的区域分流影响,有助于准确地预测国内航空运输市场的发展与变化。分流模型采用了计量经济学方法,以旅行时间差和票价浮动作为基本变量,收集国内外航空运输数据和高铁运营数据进行统计分析,得出四横四纵高铁网络对整体航空市场和京沪航线上的分流效应。高铁网络对航空旅客分流影响研究将对国内航空运输市场预测和航线优化产生重要的作用。     

基于SCPS协议的天地一体化网络加密设计

分析未来空间科学试验、载人航天工程等对空间通信信息化加密需求,提出天地一体化网络的典型应用模式。针对这种模式提出基于SCPS-SP(空间通信协议规范-安全协议)和IPSec(互联网安全)协议的天地一体化信息加密设计。这种一体化的设计可以有效解决地面网络和空间子网信息的整体加密、完整性验证和认证问题。     

Correlation between sunspots and interplanetary shocks measured by ACE during 1998–2014 and some estimations for the 22nd solar cycle and the years between 2015 and 2018 with artificial neural network using the Cavus 2013 model

The Advanced Composition Explorer (ACE) spacecraft has measured 235 solar-based interplanetary (IP) shock waves between the years of 1998–2014. These were composed of 203 fast forward (FF), 6 slow forward (SF), 21 fast reverse (FR) and 5 slow reverse (SR) type shocks. These data can be obtained from the Interplanetary Shock Database of Harvard-Smithsonian Centre for Astrophysics. The Solar Section of American Association of Variable Star Observers (AAVSO) is an organization that counts the number of the sunspots. The effects of interplanetary shock waves on some physical parameters can be computed using a hydrodynamical model. There should be some correlations between these effects and the sunspot variations. The major objective of this paper is twofold. The first one is to search these correlations with sunspots given in the database of AAVSO. As expected, high correlations between physical parameters and sunspots have been obtained and these are presented in tables below. The second objective is to make an estimation of these parameters for the 22nd solar cycle and the years between 2015 and 2018 using an artificial neural network. Predictions have been made for these years where no shock data is present using artificial intelligence. The correlations were observed to increase further when these prediction results were included.     

Measuring the resilience of an airport network

Resilience is the ability of a system to withstand and stay operational in the face of an unexpected disturbance or unpredicted changes. Recent studies on air transport system resilience focus on topology characteristics after the disturbance and measure the robustness of the network with respect to connectivity. The dynamic processes occurring at the node and link levels are often ignored. Here we analyze airport network resilience by considering both structural and dynamical aspects. We develop a simulation model to study the operational performance of the air transport system when airports operate at degraded capacity rather than completely shutting down. Our analyses show that the system deteriorates soon after disruptive events occur but returns to an acceptable level after a period of time. Static resilience of the airport network is captured by a phase transition in which a small change to airport capacity will result in a sharp change in system punctuality. After the phase transition point, decreasing airport capacity has little impact on system performance. Critical airports which have significant influence on the performance of whole system are identified, and we find that some of these cannot be detected based on the analysis of network structural indicators alone. Our work shows that air transport system’s resilience can be well understood by combining network science and operational dynamics.     

Heuristics of node selection criteria to assess robustness of world airport network

The world airport network (WAN) is one of the networked infrastructures that shape today's economic and social activity,so its resilience against incidents affecting the WAN is an important problem.In this paper,the robustness of air route networks is extended by defining and testing several heuristics to define selection criteria to detect the critical nodes of the WAN.In addition to heuristics based on genetic algorithms and simulated annealing,custom heuristics based on node damage and node betweenness are defined.The most effective heuristic is a multiattack heuristic combining both custom heuristics.Results obtained are of importance not only for advance in the understanding of the structure of complex networks,but also for critical node detection.     

航天测控资源应用现状及综合利用研究

针对我国航天测控资源存在“条块分割、设备分散”等问题,进行相应分析并提出解决设想,其目的是找到适合我国国情的航天测控资源合理配置,实现测控资源和空间资源充分共享及综合利用。首先对我国地球同步卫星和近地卫星的航天测控资源应用现状进行分析;其次根据不同卫星的测控特点,提出航天测控资源综合利用的设想,并对其利弊进行了详细讨论;最后结合我国航天测控资源实际情况,指出了实现航天测控资源综合利用需要重点解决测控覆盖范围等关键技术问题。     

美国天基靶场的开发

目前美国正在积极研究天基靶场并计划从地基靶场向天基靶场升级,这是美国靶场发展规划的一个重要目标。本文对美国天基靶场概念进行了分析,并与今天基于雷达的地基靶场进行了比较,最后介绍了美国实施天基靶场的一些演示实验方案。