ARM平台基于改进视觉密码认证系统的设计与实现

合法用户的身份认证在信息安全中起着非常重要的作用,以静态口令为基础的传统认证方式正面临多种安全隐患。基于视觉密码技术的原理和特点,从使用安全性方面提出改进算法,实现了一套完整的一次一密身份口令认证方案,使得认证过程更加安全可靠。系统采用双因素认证方式,将指纹识别技术和视觉密码技术相结合,进一步提高安全性,并最终在AM3517实验平台上实现。实测表明,该系统操作简单、认证过程安全可靠、易扩展、使用成本低,具有广阔的应用前景。     

一种面向无源RFID电子标签的电流灵敏放大器设计

提出了一种适用于无源射频识别RFID电子标签中多次可编程MTP非易失性存储器NVM的新型电流灵敏放大器结构。该电路在不增加面积的情况下具有低功耗、高速度、高可靠性和高灵敏度的优越性能。基于GSMC 0.13μm CMOS工艺下的仿真结果表明,新型灵敏放大器在-40℃~80℃的环境下具有很高的读取速度,且能够工作在低电压（0.8 V）下。在1.2 V工作电压、27℃室温下电路的读出延时是10.5 ns,平均功耗为6.1 μW@25MHz,分辨率可达到33 nA。     

基于重要边缘点的时间序列异常模式检测算法

在分析边缘算子的思想和现有时间序列模式表示方法基础上,将边缘点方法和重要点方法相结合,提出了基于重要边缘点的时间序列模式表示算法。算法按各观测点的边缘化程度,提取重要的边缘点将时间序列分成多个子线段,通过分析直线段之间的相似性,发现异常的序列模式。从理论和实验两方面对算法进行了分析和验证,结果表明,算法复杂度较低,模式表示误差小,能够满足大规模时间序列数据模式表示的要求。     

Gas-phase residence time distribution in a falling-film microreactor

Industrial-scale performance of gas-liquid reactors can be difficult to optimise for very rapid or highly exothermic reactions. Microstructured reactors for laboratory measurements offer new opportunities for the study of these reactions by enabling precise heat management and fine control of reactor operating conditions. For accurate experimental study, characterisation of the flow conditions within these new reactor devices is essential.The present study examines experimental residence time distributions for the gas phase through a microstructured falling-film reactor, in order to develop an appropriate flow model for further study of gas-phase mass-transfer characteristics in the system. For the gas-phase residence time distribution experiments, the detection system involves a flow of oxygen containing ozone as a tracer gas with continuous monitoring of the concentration by UV-light absorption. The experimental results are used to model the flow behaviour in the gas volume over the gas-liquid contact zone as a series of continuous stirred tank reactors whose number is a simple function of the gas Reynolds number.The experimental results are compared with computational fluid dynamics calculations of the gas flow within the reactor. The comparison indicates a clear correlation of the flow model behaviour with the appearance of recirculation loops in the reaction chamber and the effect of the gas jet at the entrance of the gas-liquid contact zone.     

The role of lanthana loading on the catalytic properties of Pd/Al2O3-La2O3 in the NO reduction with H2

The role of La₂O₃ loading in Pd/Al₂O₃-La₂O₃ prepared by sol–gel on the catalytic properties in the NO reduction with H₂ was studied. The catalysts were characterized by N₂ physisorption, temperature-programmed reduction, differential thermal analysis, temperature-programmed oxidation and temperature-programmed desorption of NO.

The physicochemical properties of Pd catalysts as well as the catalytic activity and selectivity are modified by La₂O₃ inclusion. The selectivity depends on the NO/H₂ molar ratio (GHSV = 72,000 h⁻¹) and the extent of interaction between Pd and La₂O₃. At NO/H₂ = 0.5, the catalysts show high N₂ selectivity (60–75%) at temperatures lower than 250 °C. For NO/H₂ = 1, the N₂ selectivity is almost 100% mainly for high temperatures, and even in the presence of 10% H₂O vapor. The high N₂ selectivity indicates a high capability of the catalysts to dissociate NO upon adsorption. This property is attributed to the creation of new adsorption sites through the formation of a surface PdO_x phase interacting with La₂O₃. The formation of this phase is favored by the spreading of PdO promoted by La₂O₃. DTA shows that the phase transformation takes place at temperatures of 280–350 °C, while TPO indicates that this phase transformation is related to the oxidation process of PdO: in the case of Pd/Al₂O₃ the O₂ uptake is consistent with the oxidation of PdO to PdO₂, and when La₂O₃ is present the O₂ uptake exceeds that amount (1.5 times). La₂O₃ in Pd catalysts promotes also the oxidation of Pd and dissociative adsorption of NO mainly at low temperatures (<250 °C) favoring the formation of N₂.     

Relaxation time and conductivity of comb‐like gel polymer electrolytes

Using the copolymer of acrylonitrile (AN), methyl methacrylate (MMA), and poly(ethylene glycol) methyl ether methacrylate as a backbone and poly(ethylene glycol) methyl ether (PEGME) with 1100 molecular weight as side chains, comb‐like gel polymers and their Li salt complexes were synthesized. The dynamic mechanical properties and conductivities were investigated. Results showed that the gel copolymer electrolytes possess two glass transitions: α‐transition and β‐transition. Based on the time–temperature equivalence principle, a master curve was constructed by selecting T_α as reference temperature. By reference to T₀ = 50°C, the relation between log τ_c and c was found to be linear. The master curves are displaced progressively to higher frequencies as the content of plasticizer is increased. The relation between log τ_p and the content of plasticizer is also linear. © 2007 Wiley Periodicals, Inc. J Appl Polym Sci 104: 576–584, 2007     

水处理容器缠绕不饱和聚酯体系研究

研究了水处理容器缠绕不饱和聚酯树脂体系 ,重点阐述了不饱和聚酯凝胶期控制、表干及树脂增韧方法和纤维缠绕复合层的力学性能 ,分析了水容器受压树脂环向开裂的原因 ,探讨了提高树脂开裂强度的措施     

嵌入式火控软件时间性能测试

嵌入式实时操作系统是能在确定的时间内执行计算或处理功能并能对外部事件做出响应的系统,由此可见时间逻辑会影响软件系统的正确性,时间指标一般指任务切换、完成时间和中断响应时间。根据这些特点,文中简要介绍了静态分析方法,着重介绍了一种利用8253可编程间隔定时器进行插装的实时动态检测时间指标的方法。此方法在嵌入式火控系统软件时间性能指标的测试中得到了充分利用,取得很好的应用效果,同时也介绍了此方法的局限性,便于在其他测试项目中更充分的运用。     

无线Mesh网络中路由与信道联合分配研究

无线Mesh网络中路由器使用多射频接口并配备多信道传输能有效增加网络吞吐量及降低干扰。研究路由与信道分配问题的目的就是增加网络容量、减少延迟等。文中针对无线Mesh网络中多接口多信道的路由与信道分配问题做了统一考虑,根据路由约束、信道约束、干扰约束以及宽带约束建立了混合整数线性规划（MILP）模型,并提出了基于迭代搜索的启发式算法很好地解决了此问题。仿真结果表明该算法可以提高网络吞吐量,降低延迟。     

Feature selection on probabilistic symbolic objects

In data analysis tasks, we are often confronted to very high dimensional data. Based on the purpose of a data analysis study, feature selection will find and select the relevant subset of features from the original features. Many feature selection algorithms have been proposed in classical data analysis, but very few in symbolic data analysis （SDA） which is an extension of the classical data analysis, since it uses rich objects instead to simple matrices. A symbolic object, compared to the data used in classical data analysis can describe not only individuals, but also most of the time a cluster of individuals. In this paper we present an unsupervised feature selection algorithm on probabilistic symbolic objects （PSOs）, with the purpose of discrimination. A PSO is a symbolic object that describes a cluster of individuals by modal variables using relative frequency distribution associated with each value. This paper presents new dissimilarity measures between PSOs, which are used as feature selection criteria, and explains how to reduce the complexity of the algorithm by using the discrimination matrix.