Traffic Signal Timing via Deep Reinforcement Learning

In this paper, we propose a set of algorithms to design signal timing plans via deep reinforcement learning. The core idea of this approach is to set up a deep neural network (DNN) to learn the Q-function of reinforcement learning from the sampled traffic state/control inputs and the corresponding traffic system performance output. Based on the obtained DNN, we can find the appropriate signal timing policies by implicitly modeling the control actions and the change of system states. We explain the possible benefits and implementation tricks of this new approach. The relationships between this new approach and some existing approaches are also carefully discussed.      

信息安全本科毕业生质量分析

为进一步了解信息安全本科毕业生的就业情况、用人单位和毕业生对信息安全人才培养的意见和建议,调查了杭州电子科技大学2008-2012届信息安全本科毕业生的就业状况,对用人单位和部分毕业生进行了专访和调查,并对调查结果进行了分析和研究。总结了企业对毕业生能力的要求、总体评价和在人才培养方面的建议,也包括毕业生对学校教学工作的评价、人才培养的意见和建议。文章提出信息安全本科专业在人才培养目标、知识和能力结构、基础理论与专业教学、培养途径和就业指导方面的观点的建议。     

基于C#的DES加密算法的应用

信息安全问题伴随着信息技术和产业的急速发展越来越突出,为了防止信息的泄漏,对信息的加密保护迫在眉睫.本文运用C#语言对DES这种复杂度高、保护性强的算法进行了算法实现,并在数据库信息的加密中加以应用.     

校园迎新报到系统的网络供应解决方案——以扬州工业职业技术学院为例

校园迎新报到系统为数字化迎新提供了可能,而数字化迎新又以稳定的网络保障为后盾,如何为报到系统提供稳定而安全的网络保障,成为部分高职院校面临的一个问题。本文以扬州工业职业技术学院为例,简单探析了几种网络保障的解决方案。     

基于精确流量控制的局域网网关出口管理策略

局域网应用越来越广泛,鉴于网络宽带的有限性,提出了基于精确流量控制的局域网网关出口管理策略,网络出口管理的优化控制得以实现,有效改善了局域网络拥塞问题.     

计算机网络设计中关系数据库技术的应用

随着信息化技术的发展,计算机网络设计逐渐兴起并讯速发展。在计算机网络设计过程中,其工序相当复杂,因此需要建立与其相关的数据库保障计算机网络设计。关系数据库技术根据数据库中数据的相关性储存、调度数据,从而使其更好地服务于计算机网络设计。本文简要论述了关系数据库的概况、关系数据库在计算机网络设计中的辅助功能,分析了关系数据库技术在计算机网络设计中的基本原理并探讨了它在计算机网络设计中的优势。     

Performance analysis on Lv distribution and its applications

A new signal analysis method, known as Lv distribution (LVD), has been reported recently to provide improved estimation accuracy of centroid frequency and chirp rate. In this paper, performances of the LVD on signal concentration, detection, representation errors and computational complexity are discussed and compared with polynomial Fourier transform (PFT) and fractional Fourier transform (FrFT). Based on the results of our theoretical analysis and Monte Carlo simulations, it is shown that the LVD achieves desirable performance improvement compared with those achieved by other methods. By using the accurate estimation of chirp rate provided by the LVD, the performance of local polynomial periodogram (LPP) is investigated. Comparisons with other time–frequency representations, such as the inverse LVD (ILVD) and the PFT-based LPP, are made on signal concentration in the time–frequency domain.     

A parallel ant colonies approach to de novo prediction of protein backbone in CASP8/9

Predicting the three-dimensional structure of proteins from amino acid sequences with only a few remote homologs,or de novo prediction,remains a major challenge in computational biology.The modeling of the protein backbone represents the initial phase of a protein structure prediction process.Using a parallel ant colony optimization based on sharing one pheromone matrix,this report proposes a parallel approach to predict the structure of a protein backbone.The parallel approach combines various sources of energy functions and generates protein backbones with the lowest energies jointly determined by the various energy functions.All free modeling targets in CASP8/9 are used to evaluate the performance of the method.For 13 targets in CASP8,two out of the predicted model1s selected by our approach are the best of the published CASP8 results,and seven out of the model1s are ranked in the top 10.For 29 targets in CASP9,20 out of the best models from our predictions are ranked in the top 10,and 11 out of the model1s are ranked in the top 10.     

SQL Server的数据库加密技术的研究与实现

数据库加密就是对数据库的文件或数据进行加密,数据加密后以密文方式存储,即使被窃取、被拷贝,机密数据也不会被敌对方获取。本文介绍了SQL Server数据库常见的安全问题和数据库加密技术,提出了一种对于数据库字段的加密技术。