后勤机动装备加装激光告警器探讨

介绍了国外车载式激光告警器的发展及装备现状,分析了现代战场上日益严峻的激光威胁环境。指出了后勤机动装备要实施安全、有效的后勤保障,就必须具备对战场激光威胁的预警能力,发出告警并指示出激光辐射源的威胁类型,使被保护目标迅速及时地采取相应措施。这对提高后勤机动装备的自我防护和生存能力,确保战时后勤物资和人员的顺畅流动,具有极其重要的意义。重点探讨了后勤机动装备加装激光告警器的必要性和可行性,并对激光告警器设计方案进行了初步论证。     

基于二维PSD的任意转角激光对中仪

介绍了二维PSD的工作原理，提出了一种基于单LD／单PSD的同轴度测量模型．据此模型，只要测量出任意两个角度时光斑在PSD上的坐标，即可求出两轴的径向偏差和角度偏差．给出了系统硬件组成和软件流程图．     

基于J2ME的手机移动电子邮件系统的研究

随着移动通信数据业务的发展，移动手机和智能化移动终端的实现和普及，移动邮件系统随之产生。目前常用的移动邮件业务需通过WAP网关访问Internet，进行在线交流时会增加服务器负荷，这导致无线Internet的应用受到很大限制。利用J2ME设计了一个新的移动邮件系统以解决上述问题，该系统利用设计的中间层服务器连接Web Mail的SMTP／IMAP／POP3服务器，执行中间业务逻辑的处理，最终实现移动邮件的所有操作。     

校园网中P2P流量的识别及其控制

结合P2P网络应用中出现的问题,分析了P2P对校园网网络流量的影响,提出了如何在校园网中识别和控制P2P,为校园网解决P2P问题提供了相应的方法。     

饮用水消毒剂的特点及杀菌技术的研究

阐述了几种消毒方式的特性及其应用前景,通过对比臭氧,ClO2,微波,KMnO4及紫外线的消毒效果,确定了取代液氯消毒饮水的最佳方案.影响消毒剂效果的主要因素有温度、pH值及作用时间.消毒剂浓度与作用时间的关系可用ct(mg*min/L)值来表示,代表消毒剂的杀菌能力,对大肠杆菌,当pH为6～7时,臭氧、ClO2、氯的ct值分别为0.02,0.40～0.75,0.034～0.050.升高温度会加强消毒剂的灭菌效果,要保持原来的消毒效果就需要延长作用时间或增大消毒剂的剂量.     

EXPRESSION OF MATRIX METALLOPROTEINASE-2 AND VASCULAR ENDOTHELIAL GROWTH FACTOR IN HUMAN GLIOMA AND THEIR RELATION TO THE INVASION OF THE TUMOR

Neovascularizationcanbeobservedinthe courseoftumorformationandmalignantinvasion,whichwillpromotethemalignantinvasionofthe tumor[1].Vascularendothelialgrowthfactor(VEGF)andmatrixmetalloproteinases(MMPs)are theimportantadjustiveproteinsintheinvasionand neov…     

Short/medium-term prediction for the aviation emissions in the en route airspace considering the fluctuation in air traffic demand

This paper proposes a novel short/medium-term prediction method for aviation emissions distribution in en route airspace. An en route traffic demand model characterizing both the dynamics and the fluctuation of the actual traffic demand is developed, based on which the variation and the uncertainty of the short/medium-term traffic growth are predicted. Building on the demand forecast the Boeing Fuel Flow Method 2 is applied to estimate the fuel consumption and the resulting aviation emissions in the en route airspace. Based on the traffic demand prediction and the en route emissions estimation, an aviation emissions prediction model is built, which can be used to forecast the generation of en route emissions with uncertainty limits. The developed method is applied to a real data set from Hefei Area Control Center for the en route emission prediction in the next 5 years, with time granularities of both months and years. To validate the uncertainty limits associated with the emission prediction, this paper also presents the prediction results based on future traffic demand derived from the regression model widely adopted by FAA and Eurocontrol. The analysis of the case study shows that the proposed method can characterize well the dynamics and the fluctuation of the en route emissions, thereby providing satisfactory prediction results with appropriate uncertainty limits. The prediction results show a gradual growth at an average annual rate of 7.74%, and the monthly prediction results reveal distinct fluctuation patterns in the growth.     

Assessing the Potential Impacts of Connected Vehicles: Mobility,Environmental, and Safety Perspectives

The connected vehicle is a rapidly emerging paradigm aimed at deploying and developing a fully connected transportation system that enables data exchange among vehicles, infrastructure, and mobile devices to improve mobility, enhance safety, and reduce the adverse environmental impacts of the transportation systems. This study focuses on micromodeling and quantitatively assessing the potential impacts of the connected vehicle (CV) on mobility, safety, and the environment. To assess the benefits of CVs, a modeling framework is developed based on traffic microsimulation for a real network located in the city of Toronto, Canada, to mimic communication between enabled vehicles. In this study, we examine the effects of providing real-time routing guidance and advisory warning messages to CVs. In addition, to take into account the rerouting in nonconnected vehicles (non-CVs) in response to varying sources of information such as apps, global positioning systems (GPS), variable message signs (VMS), or simply seeing the traffic back up, the impact of fraction of non-CV vehicles was also considered and evaluated. Therefore, vehicles in this model are divided into; uninformed/unfamiliar not connected (non-CV), informed/familiar but not connected (non-CV) that get updates infrequently every 5 minutes or so (non-CV), and connected vehicles that receive information more frequently (CV). The results demonstrate the potential of connected vehicles to improve mobility, enhance safety, and reduce greenhouse gas emissions (GHGs) at the network-wide level. The results also show quantitatively how the market penetration of connected vehicles proportionally affects the performance of the traffic network. While the presented results are pertinent to the specifics of the road network modeled and cannot be generalized, the quantitative figures provide researchers and practitioners with ideas of what to expect from vehicle connectivity concerning mobility, safety, and environmental improvements.     

Web开发中MD5摘要计算的应用——Struts技术实现

MD5的全称是Message-Digest Algorithm 5(信息-摘要算法),在90年代初由MIT Laboratory for Computer Science和RSA Data Security Inc的Ronald L.Rivest开发出来,经MD2、MD3和MD4发展而来。本文首先介绍了MD5算法的概念,然后阐述了Java语言的java.security包对MD5算法的支持,并基于Sun公司Java 2平台企业版(J2EE)MVC框架Struts技术,针对B/S模式毕业设计选题系统中的学生基本信息注册模块所采用的MD5摘要计算作了详细介绍。     

东风雪铁龙C2轿车TU3AF发动机控制电路

介绍东风雪铁龙C2轿车的基本车型和特点,讲述其搭载的1．4LTU3AF发动机控制电路的组成、元件的作用和工作原理,列出电路中各元件的型号与生产厂家。