An efficient threshold key-insulated signature scheme

To tackle the key-exposure problem in signature settings, this paper introduces a new cryptographic primitive named threshold key-insulated signature (TKIS) and proposes a concrete TKIS scheme. For a TKIS system, at least k out of n helpers are needed to update a user’s temporary private key. On the one hand, even if up to k−1 helpers are compromised in addition to the exposure of any of temporary private keys, security of the non-exposed periods is still assured. On the other hand, even if all the n helpers are compromised, we can still ensure the security of all periods as long as none of temporary private keys is exposed. Compared with traditional key-insulated signature (KIS) schemes, the proposed TKIS scheme not only greatly enhances the security of the system, but also provides flexibility and efficiency.     

A selection scheme for optimum number of cooperative secondary users in spectrum sensing

An optimization scheme for choosing the optimum number of secondary users in cooperative spectrum sensing based on the cyclostationary feature detection with Neyman-Pearson criterion is proposed in this paper. The optimal soft combination test statistic for the cooperative spectrum sensing based on cyclostationary feature detection is derived according to the generalized likelihood ratio test and its corresponding detection performance is deduced. A target function, considering two important parameters as the resource use efficiency and the number of samples employed by each cooperative secondary user in the system design, is constructed to obtain the optimum number of cooperative secondary users. It can be found that the selection scheme is to make a tradeoff between the system complexity of the cognitive radio network and the global sensing performance of the cooperative spectrum sensing.     

Automatic product image classification with multiple support vector machine classifiers

For the task of visual-based automatic product image classification for e-commerce, this paper constructs a set of support vector machine (SVM) classifiers with different model representations. Each base SVM classifier is trained with either different types of features or different spatial levels. The probability outputs of these SVM classifiers are concatenated into feature vectors for training another SVM classifier with a Gaussian radial basis function (RBF) kernel. This scheme achieves state-of-the-art average accuracy of 86.9% for product image classification on the public product dataset PI 100.     

桥梁检测和加固技术应用研究

目前,随着我国交通事业的飞速发展,桥梁作为交通枢纽,发挥着越来越重要的作用,已经成为全国经济发展的纽带。桥梁因其长期处在外界物理和化学因素共同作用下,材料更易于不断劣化,最终形成较大损伤。在总结前人桥梁检测维修经验的基础上,并依据工程实例,进一步研究桥梁检测和加固技术,详细阐述桥梁的检测、维修方法及加固方案,对以后类似旧桥检测加固提供一定的借鉴意义。     

随机条件下固定公交线路服务频率优化模型

在考虑客流需求波动及车辆运行时间随机变动的情况下,建立了以乘客候车期望和公交车辆利用率总体最优为目标的公交线路服务频率优化模型.利用蒙特卡罗方法随机模拟一条高频线路的公交服务,计算得到了给定线路参数下的最优服务频率.算例表明该模型可用来确定高频服务公交线路的发车时间间隔.     

农村公路网等级结构灰色多目标优化模型研究

通过分析当前农村公路网等级结构确定方法,指出路网等级结构确定方法中优化目标的优先顺序以及在约束条件下的技术系数和资源约束都存在灰度的问题.运用灰色系统理论原理,构建了农村公路网等级结构灰色多目标优化模型.该模型使公路网规划者在农村公路网等级结构确定存在灰度的情况下,得到满意可行的结论.     

基于维修过程的船舶装备维修性分析方法研究

针对船舶装备的维修特点,提出一种适合船舶装备的维修性分析方法—基于维修过程的船舶装备维修性分析方法.该方法是在将维修过程进行分解的基础上,通过定性分析查找船舶装备在维修性设计中存在的薄弱环节,通过定量分析预估装备的平均故障修复时间值,从而为装备改进维修性设计和签订合同提供依据.最后用实例说明此方法的应用.     

深水铺管船技术研究

海底管道在海洋石油天然气的运输方面起到越来越重要的作用,但随着铺管海域水深的增加,对海底管道的铺设方法和主要铺设工具——铺管船也提出了更高的要求.文章介绍了目前普遍使用的几种深水铺管船的船型特点及铺管方法,并以ABS规范为基准,详细说明了深水铺管船入级在总体、结构、舾装等方面应达到的各项要求.     

集装箱正面吊运机吊具摇摆控制系统的仿真分析

根据集装箱正面吊运机吊具平衡系统的工作特点和运动学要求,搭建其机械和液压模型,利用AMESim动态仿真软件对吊具装卸作业的运动过程进行仿真比较,优化系统相关参数,从而得到最佳方案。     

城市公路隧道多匝道通风系统计算方法的探讨

文章以某一实际工程为例,介绍了SES模拟软件在多匝道公路隧道通风系统中的应用。在多匝道和多交叉的公路隧道工程中,可以采用SES模拟软件对隧道通风系统进行辅助计算,成功地解决多匝道通风系统的难题,为今后类似工程的计算和设计提供新的思路。