Lattice-based group signature with verifier-local revocation

Among several post quantum primitives proposed in the past few decades, lattice-based cryptography is considered as the most promising one, due to its underlying rich combinatorial structure, and the worst-case to average-case reductions. The first lattice-based group signature scheme with verifier-local revocation(VLR) is treated as the first quantum-resistant scheme supported member revocation, and was put forward by Langlois et al. This VLR group signature(VLR-GS) has group public key size of O(nm log N log q), and a signature size of O(tm log N log q log β). Nguyen et al. constructed a simple efficient group signature from lattice, with significant advantages in bit-size of both the group public key and the signature. Based on their work, we present a VLR-GS scheme with group public key size of O(nm log q) and signature size of O(tm log q). Our group signature has notable advantages: support of membership revocation, and short in both the public key size and the signature size.     

武广铁路客运专线CRTSⅠ型板式无砟轨道混凝土试验研究

武广客运专线广州无砟轨道试验段是我国引进日本板式无砟轨道技术的试验段.以该工程为背景,根据CRTS Ⅰ式无砟轨道混凝土设计要求,对我国与日本在混凝土质量标准、设计理念与原材料质量标准的区别进行了分析.通过原材料优化选择,基准配合比的选定和试配以及试验室和搅拌站验证,轨道板混凝土各项技术参数基本符合设计要求.     

25G型客车轴箱弹簧折断原因分析及预防措施

本文针对轴箱弹簧折断现象,较为全面地分析了故障原因,并根据故障车辆的车轮磨耗状况,建立振动模型,从理论上分析了滚动圆不圆度对轴箱弹簧冲击振动的影响,从运用角度提出了预防轴箱弹簧折断的建议措施。     

龙厦线封闭式路堑U型槽设计研究

针对工程的地质、水文条件,对封闭式路堑U型槽结构的设计方法要点及设计中应注意的问题进行探讨,以解决地下水位较高或渗透系数较大的含水地层及某些特殊原因不允许降低地下水的路堑渗流和渗透问题。     

展望城市轨道交通未来，迎接大规模建设挑战

1 城市轨道交通发展现状 当前,随着经济的发展,人民生活水平的提高,城市规模越来越大,人口越来越多,私人汽车不断增加,城市交通拥堵加剧,交通问题已成为我国乃至全世界城市中最难解决的问题之一.特别对私人小汽车的看法,我们要大声疾呼,到了这个阶段,让百姓享受小汽车的快乐是不可避免的,但是小汽车只是中产阶级的符号,不能作为上下班的主要工具,否则,城市不仅是拥堵的问题,而是在一些城市部分地区要产生局部瘫痪的问题.为此,中国土木工程学会及其所属分会、委员会,自2003年以来,就积极倡导"公交优先",大力推广巴士快速交通(BRT)技术、大力促进城市轨道交通建设,推进轨道交通技术进步等工作,为缓解城市交通压力、促进我国城市可持续发展发挥了积极的作用.特别是2005年"城市轨道交通技术推广委员会(筹委会)"成立以来,坚持把"促进中国城市轨道交通建设,包括规划、设计、施工、科研等方面的技术进步、推广和发展"作为行动宗旨,通过搭建我国城市轨道交通建设行业交流平台,在引领本领域技术创新,参与制定行业标准,积极向政府建言献策,积极开展学术交流、国际合作、技术咨询、行业服务等多方面开展了大量的工作,发挥了积极的作用.依托学会城市轨道交通技术推广委员会这个平台,分别在2006年、2007年、2009年于南京、广州、北京举办了3届以"城市轨道交通关键技术研究"为主题的论坛.本次在上海举行的会议是第四届论坛,希望在推进学术交流、提高水平等方面起到更大的作用.     

轿车总布置设计中人机工程应用的初步探讨

简单介绍了确定轿车总布置尺寸的主要原则，指出所有考虑因素的确定都必须以人为根本，以满足人机工程要求为原则。讨论了人机工程尺寸与乘坐舒适性、安全性、操纵性、上下轻便性之间的关系，最后通过简单的实例对优化总布置尺寸的过程作了初步介绍，并探讨了今后的发展方向。     

一种基于预测的电控汽油机怠速稳定性控制方法

根据发动机怠速工作过程的非线性、时变性和不确定性，分析了传统怠速稳定性控制的控制机理及存在的不足，提出了一种基于预测的发动机怠速稳定性控制方法——动态矩阵预测控制(DMC)算法，并建立了预测控制模型。试验表明，该预测控制方法能够较好地克服各种不确定性因素和复杂变化对怠速稳定性的影响。     

Study on dynamic characteristics of vehicle gearbox under multi-boundary conditions

With the development of vehicle gearbox to high-power-density and high-speed, how to predict and optimize the dynamic characteristics of vehicle gearbox becomes increasingly prominent. Aiming at the vehicle gearbox, this paper comprehensively and deeply studies the dynamic characteristics under the multi-boundary conditions. The generation mechanism of the multi-source excitations triggering the gearbox vibration is analyzed firstly. The vibration transfer path of the gearbox is explored. Secondly, the engine excitation, the gear meshing excitation and the bearing support load are numerically calculated. According to the finite element method, a fluid-solid coupling finite element model of the gearbox body is established to predict the gearbox dynamic responses based on the Galerkin method and the Hamiltonian variational principle. Finally, the effects of the excitation condition, oil height and reinforcement forms on the vibration responses of the gearbox body are thoroughly studied by simulation. The analysis indicates that it not only helps to modify and improve the method of forecasting the gearbox dynamic response, and also provides the theoretical and technical guidance for the gearbox design and optimization.     

Target priority determination methods by interval-valued intuitionistic fuzzy sets with unknown attribute weights

The paper aims at the problem of multi-targets threat degree being hard to be evaluated accurately in complex air defense battlefield environments. Combined with multi-sensors information fusion and interval-valued intuitionistic fuzzy sets (IVIFS) theories, the target priority determination is studied. The score and accuracy functions of IVIFS are improved with thinking about the hesitating information in order to increase the rationality. Then, the influence factors of target priority and the nonlinear relationship between the influence factors and target priority are analyzed. Next, the algorithms for calculating the factor weights and sensor weights are given. Based on the theory of IVIFS and technique for order preference by similarity to an ideal solution (TOPSIS), two methods of target priority determination based on the IVIFS and TOPSIS are proposed. At last, an application example verifies the effectiveness and flexibility of the proposed algorithms.     

Exploring the impact of walk–bike infrastructure,safety perception,and built-environment on active transportation mode choice: a random parameter model using New York City commuter data

This study estimates a random parameter (mixed) logit model for active transportation (walk and bicycle) choices for work trips in the New York City (using 2010–2011 Regional Household Travel Survey Data). We explored the effects of traffic safety, walk–bike network facilities, and land use attributes on walk and bicycle mode choice decision in the New York City for home-to-work commute. Applying the flexible econometric structure of random parameter models, we capture the heterogeneity in the decision making process and simulate scenarios considering improvement in walk–bike infrastructure such as sidewalk width and length of bike lane. Our results indicate that increasing sidewalk width, total length of bike lane, and proportion of protected bike lane will increase the likelihood of more people taking active transportation mode This suggests that the local authorities and planning agencies to invest more on building and maintaining the infrastructure for pedestrians. Further, improvement in traffic safety by reducing traffic crashes involving pedestrians and bicyclists, will increase the likelihood of taking active transportation modes. Our results also show positive correlation between number of non-motorized trips by the other family members and the likelihood to choose active transportation mode. The model would be an essential tool to estimate the impact of improving traffic safety and walk–bike infrastructure which will assist in investment decision making.