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。     

熏蒸集装箱的性能测试

1熏蒸箱研制背景 鲜活货物具有批次多、货量少和供货周期短等特点，需要对其进行快捷、便利的“门对门”检疫除害处理，以便确保运输质量。由于我国目前缺乏先进的熏蒸设备，无法对鲜活农产品进行有效的熏蒸处理，导致这类货物的进出口受到限制，不仅影响农民增收，而且制约我国对外贸易的顺利发展。     

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。     

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。     

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。     

南宁膨胀土胀缩性模糊评判分析

提出了利用土的密度、液限、塑限、液性指数、塑性指数和自由膨胀率等6项指标来判别南宁膨胀土胀缩性等级的模糊数学定量评判方法,对6项指标与胀缩总率进行了相关关系分析,用其相关系数来确定相应的权重值,建立了相应的模糊数学评判模型,并用实例对所建的模糊数学评判模型进行了验证,其结果与实测结果相吻合。     

钢轨风冷淬火用拉瓦尔孔板的设计与使用

介绍拉瓦尔喷孔的特点及设计,通过实例说明使用拉瓦尔喷孔可以达到提高冷却速度、节约用风量的目的。