基于神经网络技术自动筛选Monastrol抑制剂的算法研究

带自动荧光显微镜的HCS（high content screening）系统是一种新兴的显微摄影、筛选和处理系统.HCS系统在摄影过程中会产生大量数据,人工筛选和识别费时费力.本文为了进行Monastrol抑制剂的筛选,基于前馈式神经网络技术研究了一种对HCS系统摄影的大量细胞同时进行特征提取和细胞显型识别的自动算法.在得到各个通道分离的图像后,对不同通道图像进行并行预处理,并采用神经网络和逻辑运算相结合的算法进行处理.我们将该方法运用于Monastrol抑制剂的筛选中,并将结果与人工识别结果进行分析比较.相比较前人提出的multi-phenotypic mitotic analysis（MMA）算法自动识别的正确率得以提高,可更好评估抗癌药剂效用.     

AJAX技术在网络考试系统中的应用

在充分分析网络考试系统的现状、发展前景的基础上,剖析了目前网络考试系统存在客户端相应速度慢、数据处理不灵活等问题,重点论述了在校园网环境下采用AJAX技术提高系统性能的优势及具体的解决策略,取得了良好的效果.     

Network Motif Detection： Algorithms, Parallel and Cloud Computing,and Related Tools

Network motif is defined as a frequent and unique subgraph pattern in a network, and the search involves counting all the possible instances or listing all patterns, testing isomorphism known as NP-hard and large amounts of repeated processes for statistical evaluation. Although many efficient algorithms have been introduced, exhaustive search methods are still infeasible and feasible approximation methods are yet implausible.Additionally, the fast and continual growth of biological networks makes the problem more challenging. As a consequence, parallel algorithms have been developed and distributed computing has been tested in the cloud computing environment as well. In this paper, we survey current algorithms for network motif detection and existing software tools. Then, we show that some methods have been utilized for parallel network motif search algorithms with static or dynamic load balancing techniques. With the advent of cloud computing services, network motif search has been implemented with MapReduce in Hadoop Distributed File System(HDFS), and with Storm, but without statistical testing. In this paper, we survey network motif search algorithms in general, including existing parallel methods as well as cloud computing based search, and show the promising potentials for the cloud computing based motif search methods.     

φ混合序列乘积和的强大数定律

建立了φ混合序列的矩不等式,利用这个不等式得到了φ混合序列的三级数定理及乘积和的强大数定律。     

关于p-一致光滑Banach空间中非自映像的Reich公开问题

在p -一致光滑的Banach空间(1相似文献   

高校计算机安全事件应急响应组织的构建

在阐述应急响应的概念、应急响应组织产生的必要性及发展情况的基础上，分析了校园网络环境的特点和安全风险，以及计算机应急响应系统的职能，并据此提出高校校园网应急响应组织的总体架构。     

高校图书馆电子阅览室计算机网络建设与管理

为使高校图书馆电子阅览室更好地为教学、科研服务,提高图书馆现有资源的利用效率,结合工作实际,从图书馆电子阅览室计算机网络建设的体系结构及关键技术分析入手,总结出了高校图书馆电子阅览室计算机网络建设方案及管理策略。     

网络环境下基层图书馆文献采访工作之我见

分析了网络环境下基层图书馆利用计算机网络进行图书采访的优越性,提出了网络采访的流程和对采访人员的素质要求。     

一种应用于二进制传感器网络的目标跟踪算法

针对采用集中式粒子滤波方法解决二进制传感器网络目标跟踪问题存在的实时性较差和网络能量消耗大的缺点，提出了一种基于动态分簇的分布式粒子滤波算法。以随着目标运动而动态变化的簇为信息处理结构，簇头节点收集簇成员的单跳测量信息，实时对目标状态进行估计，非簇内节点进入休眠状态以节省能量。仿真表明，合理设置簇转换距离和激活半径，算法的跟踪精度与集中式粒子滤波方法相当；在不影响跟踪效果的情况下，可适当减小簇转换距离和激活半径，从而节省网络能量。     

New acquisition decision algorithm for multiple access interference suppression in DSSS system

For decreasing the multiple access interference of weaker signal acquisition in direct sequence spread spectrum(DSSS) systems,a new single decision algorithm is presented.The maximum value of correlation results is conventionally detected.However,there may be not only one strong peak among correlation results when the cross-correlation noise is strong enough to affect the correlation results.The proposed algorithm decreases the false alarm probability through the decision of the ratio of the maximum value and the second maximum value of the correlation results.Theoretical analysis and simulation results indicate that the proposed algorithm effectively suppresses the acquisition problem of multiple access interference in DSSS system.