Blast loaded plates

Plates form one of the basic elements of structures. Land-based structures may be subjected to air blast loads during combat environment or terrorist attack, while marine structures may be subjected to either air blast by the attack of a missile above the water surface or an underwater explosion by the attack of a torpedo or a mine or a depth charge and an aircraft structure may be subjected to an in-flight attack by on-board explosive devices. Furthermore, gas explosion occurs in offshore installations and industries. This review focuses on the phenomenological evolution of blast damage of plates.     

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。     

Port e-Transformation,customer satisfaction and competitiveness

ABSTRACT

e-Transformation in container ports means port organization-wide innovative transformation encompassing internal and external value chains based on information and communication technology. There is a considerable theoretical literature on the impact of e-Transformation on business performance, but there is very little empirical study on its effectiveness in ports. The objective of this paper is to empirically investigate how e-Transformation in container port management can influence customer satisfaction and port competitiveness. The findings reveal that e-Transformation in container ports can affect customer satisfaction and port competitiveness through e-Workplace, customer relationship management and security, implying that container ports should make every effort to focus on e-transformation in these critical areas. Due to limited empirical studies in this area, the findings have provided an empirical support for the importance of e-Transformation in container terminal management and shed more light on how e-Transformation can affect customer satisfaction and port competitiveness.     

Comments on enhanced yoking proof protocols for radio frequency identification tags and tag groups

A radio frequency identification (RFID) yoking proof scheme can generate proofs of simultaneous presence of two tags in the range of a specified reader so that an off-line verifier can verify the proofs later. This proof has found several interesting applications. However, many existing RFID yoking schemes are vulnerable to replay attacks. To overcome the weaknesses, Cho et al. proposed a new RFID yoking proof protocol and a new grouping protocol. Unfortunately, Cho et al.’s schemes are still vulnerable to replay attacks. In this paper, in addition to demonstrating weaknesses, we further discuss the rationale behind these weaknesses to provide a guide line for designing secure RFID yoking schemes. Based on the guide line, we propose a new RFID yoking scheme and a new RFID grouping scheme. Performance evaluation shows that our scheme outperforms its counterparts.     

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%。     

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。