Fully secure revocable attribute-based encryption

Distributed information systems require complex access control which depends upon attributes of protected data and access policies. Traditionally, to enforce the access control, a file server is used to store all data and act as a reference to check the user. Apparently, the drawback of this system is that the security is based on the file server and the data are stored in plaintext. Attribute-based encryption (ABE) is introduced first by Sahai and Waters and can enable an access control mechanism over encrypted data by specifying the users’ attributes. According to this mechanism, even though the file server is compromised, we can still keep the security of the data. Besides the access control, user may be deprived of the ability in some situation, for example paying TV. More previous ABE constructions are proven secure in the selective model of security that attacker must announce the target he intends to attack before seeing the public parameters. And few of previous ABE constructions realize revocation of the users’ key. This paper presents an ABE scheme that supports revocation and has full security in adaptive model. We adapt the dual system encryption technique recently introduced by Waters to ABE to realize full security.     

北京城轨网络化发展对城轨线网规划的启示

总结分析北京城市轨道交通（简称“城轨”）网络化发展过程中的教训和经验，指出大城市轨网规划首先最需要重视的是与城市及其交通规划的协调，应加强线网层次和规模的研究，并为线网发展留有余地，外围线与中心城线衔接应遵循“多点多线”的衔接原则，换乘站与城市功能节点协调，交通枢纽应采取一体化规划建设，建设时序上应考虑对相交换乘线的影响，单线方案建设需在网络总体指导下研究。     

Suspension system state estimation using adaptive Kalman filtering based on road classification

This paper provides a new method to solve the problem of suspension system state estimation using a Kalman Filter (KF) under various road conditions. Due to the fact that practical road conditions are complex and uncertain, the influence of the system process noise variance and measurement noise covariance on the estimation accuracy of the KF is first analysed. To accurately estimate the road condition, a new road classification method through the vertical acceleration of sprung mass is proposed, and different road process variances are obtained to tune the system’s variance for the application of the KF. Then, road classification and KF are combined to form an Adaptive Kalman Filter (AKF) that takes into account the relationship of different road process noise variances and measurement noise covariances under various road conditions. Simulation results show that the proposed AKF algorithm can obtain a high accuracy of state estimation for a suspension system under varying International Standards Organisation road excitation levels.     

基于深度学习的驾驶员状态识别

提出了基于驾驶员脸部及周围信息的驾驶员状态检测方法。文章通过实车摄像头采集了驾驶员驾驶状态视频数据,利用Dlib和OpenCV库对采集的驾驶员图像进行脸部检测,基于驾驶员脸部数据建立了深度学习数据集,然后基于该数据集设计了一种卷积神经网络模型FaceNet,利用PyTorch深度学习框架在数据集上对模型进行训练,最终得到了有较高准确率的驾驶员状态检测模型,其可识别抽烟、睡觉、左手打电话和右手打电话四种驾驶员状态。     

木质素纤维对再生透水沥青混合料路用性能研究

通过向透水沥青混合料(OGFC)中引入废弃混合料(再生OGFC)制备出再生OGFC,研究了木质素纤维掺量(0.01%、0.02%和0.03%)对再生透水沥青混合料路用性能(水稳性、高温性能、低温抗裂性能、抗滑性能和内聚强度)的影响。结果表明,引入再生OGFC料对混合料水稳性和低温抗裂性有明显不利影响,且对抗滑性能影响不大,而对高温性能有小幅提升作用;引入木质素纤维可明显改善再生OGFC路用性能,且木质素纤维最佳掺量为0.02%。     

新型舰载ESM信号处理系统

随着雷达技术的发展，电磁环境越来越密集，雷达信号的类型超来超复杂，这就对ＥＳＭ信号处理提出了更高的要求。基于目前ＥＳＭ信号的处理方法，本文提出了一种先进的工程上可实现的新一代舰载ＥＳＭ信号处理系统。     

选择公共交通 选择美好未来——访UITP公共交通国际联会秘书长汉斯雷特（Hans Rat）先生

UITP公共交通国际联会成立于1885年，总部设在比利时的布鲁塞尔．该协会将在2010年迎来其成立125周年纪念日。在过去的125年．UITP致力于发展城市的可持续运转及更好的公共交通。高效的公共交通意味着市民更高的生活质量和可续发展的未来。UITP涉及公共交通的各个方面．包括地铁、公共汽车、轻轨、城铁及区域铁路、郊区铁路、水路运输和出租车等。该联会在全球90多个国家共有约3200余名会员，是开展国际合作，商业发展和信息分享的平台。UITP根据不同的地区、公共交通界别、     

蜂巢式液冷电池模块传热特性的试验研究

为4 A·h的21700型锂离子电池研发了蜂巢式液冷电池模块,并通过搭建的试验平台测定其充/放电过程的传热特性。结果表明:在25℃环境温度下,0.5C恒流恒压充电和1C恒流放电过程中,电池模块的最大温差均被控制在2℃以内;40℃环境温度下,1C恒流放电过程中,当冷却液流量大于1 L/min时电池模块的最大温差能保持在所要求的5℃以内。说明蜂巢式液冷电池模块冷却性能优良,可为未来电池热管理方案的设计提供技术支撑。     

逆向工程技术在检测分析和建模中的应用

利用三维测量仪ATOSⅡ测量系统、点云处理软件Surfacer、三维建模软件UGNX3．0等，以设计效果图的油泥造型或现成实物为对象，结合逆向工程和工业设计特点，对逆向工程速成型在工业设计中的检测分析和建模问题进行了探讨和研究。逆向工程技术已经广泛应用到新产品的开发、旧零件的还原以及产品的检测中，它不仅消化和吸收了实物原型和油泥模型，还能修改再设计以制造出新的产品。     

对舰载信息系统数据融合攻击分析

针对对舰载信息系统的攻击，分析了系统的易损性，提出对数据融合系统的攻击类型，给出了攻击矩阵，并对攻击效果作了简单定性分析。