无碟机多媒体系统概述

简单阐述无碟机多媒体系统的主要组成部分,介绍软件、硬件的构架及国内市场的发展情况。     

孤立波与直立透空防波堤相互作用的解析研究

在一定条件下浅水波可能以孤立波形态与近岸防波堤发生相互作用。针对这一现象,应用特征函数展开法,推导了斜入射孤立波作用下有限厚度直立透空防波堤的反射与透射波浪场的解析积分解,并据此计算了作用于防波堤的孤立波波浪力以及孤立波反射与透射波面,相关结果具有一定的理论与实用价值。计算结果表明:孤立波入射角、海况条件、防波堤表面透空系数以及孤立波特征参数等因素变化对波浪作用均有一定影响。与相同浅水条件下的Airy微幅波理论结果相比,孤立波理论对波浪载荷与最大波面的预测值明显更大,反映了浅水波的非线性效应,同时说明在一定的浅水条件下采用孤立波模型将更为合理可靠。     

船用新型蜂窝隔振器减振性能分析

利用蜂窝结构面内受力特性,设计具有宏观正泊松比和宏观负泊松比效应的新型船用蜂窝隔振器,该新型隔振器也可作为基座使用。建立蜂窝隔振系统的有限元模型,通过模态分析和频响分析,探讨其减振效果。计算结果表明,新型隔振器的减振效果良好,在50 Hz以下频率范围内振级落差均能达到17 dB,具有较好的工程应用潜力。同时,探讨了隔振器面板分别采用钢与纤维复合材料时减振性能的差异,结果表明,采用复合材料面板的共振抑制效果更好。     

基于空隙模型的大空隙沥青混合料设计

空隙率的大小对大空隙沥青混合料的渗透性及力学性能具有很大影响,透水铺面应根据用途选择合适的空隙率,在一定的水头（降雨强度）下利用空隙模型确定的目标空隙率进行混合料配合比设计．结果表明,空隙模型确定的目标空隙率可为混合料的配合比设计提供理论指导,提高了传统设计方法的工作效率和准确性．     

多孔水泥混凝土强度影响因素分析

孔隙率与水灰比既是多孔水泥混凝土强度的影响因素,又是其配合比的主要目标设计参数。通过室内试验,分析孔隙率与水灰比对多孔水泥混凝土强度的影响规律,对实践具有一定的指导作用。     

全国治理超载超限信息管理系统的数据存储与传输

文章针对目前全国治理公路车辆超载超限信息管理系统的现状,从全国联网的角度分析系统的需求、组网方案、数据存储与传输等关键问题,着重阐述了系统建设中的多业务大数据量的SAN数据存储和流媒体QOS控制方法,为完善全国联网治超系统的建设提供参考。     

媒体网关在港口通信中的应用现状及前景

为适应发展需要，提高服务水平，港口通信网络在具备媒体网关的基础上引进软交换技术已成为一个趋势。介绍了综合接入媒体网关系统的功能及具体应用，媒体网关与软交换联接后对下一代港口通信网络发展的作用。     

基于孔隙结构的土体未冻水含量滞回效应研究

冻结特征曲线（SFCC）是描述负温与土体内部未冻水含量之间的关系曲线，是非饱和冻土研究的重要基础。冻融循环是冻土研究的关键因素。以粉土和黏土为试验对象，采用低场核磁共振（NMR）技术，测得了土体在冻融循环作用下的冻结特征曲线和孔隙结构分布图，研究土体在冻融循环作用下冻结特征曲线的变化。试验结果表明：随着循环次数的增加，土体孔隙分布发生了变化，进而导致冻结特征曲线滞回圈和特征温度点的变化，冻结特征曲线变化的本质是孔隙结构的变化；从微观结构出发得到了基于孔隙结构的SFCC表达式，指出融化过程的冻结特征曲线是主冻结特征曲线；结合试验数据的对比分析，模型有效展示了多次冻融循环下土体冻结特征曲线的滞回效应，适用于多次循环下的非饱和冻土。     

From Twitter to detector: Real-time traffic incident detection using social media data

The effectiveness of traditional incident detection is often limited by sparse sensor coverage, and reporting incidents to emergency response systems is labor-intensive. We propose to mine tweet texts to extract incident information on both highways and arterials as an efficient and cost-effective alternative to existing data sources. This paper presents a methodology to crawl, process and filter tweets that are accessible by the public for free. Tweets are acquired from Twitter using the REST API in real time. The process of adaptive data acquisition establishes a dictionary of important keywords and their combinations that can imply traffic incidents (TI). A tweet is then mapped into a high dimensional binary vector in a feature space formed by the dictionary, and classified into either TI related or not. All the TI tweets are then geocoded to determine their locations, and further classified into one of the five incident categories.We apply the methodology in two regions, the Pittsburgh and Philadelphia Metropolitan Areas. Overall, mining tweets holds great potentials to complement existing traffic incident data in a very cheap way. A small sample of tweets acquired from the Twitter API cover most of the incidents reported in the existing data set, and additional incidents can be identified through analyzing tweets text. Twitter also provides ample additional information with a reasonable coverage on arterials. A tweet that is related to TI and geocodable accounts for approximately 5% of all the acquired tweets. Of those geocodable TI tweets, 60–70% are posted by influential users (IU), namely public Twitter accounts mostly owned by public agencies and media, while the rest is contributed by individual users. There is more incident information provided by Twitter on weekends than on weekdays. Within the same day, both individuals and IUs tend to report incidents more frequently during the day time than at night, especially during traffic peak hours. Individual tweets are more likely to report incidents near the center of a city, and the volume of information significantly decays outwards from the center.     

多孔玄武岩粉尘含量对混合料体积指标的影响

内蒙古集宁地区的玄武岩表面微孔隙较多，具有棱角丰富、粉尘含量大和吸油性强的特点。文章通过采用旋转压实体积法对其进行配合比设计实践，探讨粉尘含量对混合料体积指标的影响。