Android平台安全机制探析

随着Android系统在各移动终端中的广泛应用,系统的安全尤为重要。从Android平台架构及存在的安全隐患出发,分析了Android平台的安全机制,提出了更有效的安全解决方案。     

Discriminative sequential association latent dirichlet allocation for visual recognition

Graphical models have been employed in a wide variety of computer vision tasks. Assignments of latent variables in typical models usually suffer the confused explanation in sampling way. In this paper we present discriminative sequential association Latent Dirichlet Allocation, a novel statistical model for the task of visual recognition, and especially focus on the case of few training examples. By introducing the switching variables and formulating the direct discriminative analysis, the sequential associations are considered as priori to establish a relevance determination mechanism to obtain the reasonable assignments of latent variables and avoid the invalid labeling oscillations. We demonstrate the power of our model on two common-used datasets, and the experiment results show that our model can achieve better performances with efficient convergence and give well interpretations of specific topic assignments at the same time.     

Optimal Terminal Iterative Learning Control for the Automatic Train Stop System

The train stop control is a typical set‐point control task, where only the final state (i.e., the terminal train stop position) is of concern and specified. For such a control problem, an optimal terminal iterative learning control (TILC) approach is presented in this paper, where the stopping position and initial braking speed are chosen as the terminal system output and the control input, respectively. The controller design only depends on the measured input/output (I/O) data without requiring any modeling information of the train operation system, and the learning gain is updated by the system I/O data iteratively to accommodate the system uncertainties. The monotonic convergence of the terminal tracking error is guaranteed by rigorous mathematical analysis. Extensive simulation results are provided to show the applicability and effectiveness of the proposed approach.     

黑龙江省高速公路ETC车道布设的研究

结合黑龙江省高速公路的ETC的实际需求,及车辆运行特性,对ETC专用收费车道的布设进行了研究,详细描述了ETC车道宽度、长度、及车速的设置。提出了ETC车道设备的配置和布设方案。并针对ETC系统使用中常见的问题给出了解决方法。     

长春市电子政府的现状及构建对策分析

本文在详细分析电子政府构建的意义和价值的基础上,对长春市的电子政府的发展现状进行了分析,并对长春市电子政府的构建时策进行了分析和探讨.     

黑龙江省高速公路ETC数据交换系统的设计与实现

根据黑龙江省ETC系统提出的功能需求,完成了数据交换系统的总体设计、各功能模块的详细设计,实现了ETC车道交易数据在车道本地数据库和车道业务逻辑控制子系统之间,以及车道客户端数据库和收费站服务器端数据库之间的数据交换。测试结果表明系统是高效可靠的。     

基于合一的链接文法

以词汇主义形式语法为基础,建立了链接文法与合一理论相结合的句法分析新方法.在封闭测试中,基于合一的链接文法句法分析精确率和召回率相比传统链接文法分别提高了9.6%和14.1%.实验表明方法具有一定独创性和高效性.     

方形QAM信号的识别算法

提出了一种识别方形QAM信号(4QAM、16QAM、64QAM和256QAM)的新方法,该方法将特征参数和信号降阶算法有效的结合.所选用的特征参数提取简单且易于实现,不受加性高斯噪声的影响;给出了该算法的理论推导,计算机仿真也表明该参数对滚降系数不敏感;选用的降阶方法不受载波相位的影响,较为实用.实验结果表明,该识别方法能够有效的识别方形QAM信号,4QAM、16QAM、64QAM和256QAM的识别率达到80%以上所需的信噪比分别为9dB、15dB、24dB和24dB.