Railway station route searching based on ACA

In the railway station signal system, the route searching algorithm is an important software module to realize the function safety of this system. In the paper, the ant colony algorithm is applied to the railway station route searching. Take the specific station route-the Wangzhai Station route for example to search the shortest route. The ideas of the Wangzhai Station route searching are put forward based on the ant colony algorithm. The implementation steps of it are presented. The control flow of it is proposed. The program is developed, the interface is worked out, and the route controlling is realized to demonstrate its good performance.     

海防视频监控系统中运动目标跟踪的设计与实现

针对海防视频监控系统中运动目标跟踪的问题,本文提出了利用上位机软件进行目标跟踪的设计与实现方案。文章首先介绍了海防视频监控系统的总体组成及工作流程;然后阐述了相关跟踪算法与金字塔分层搜索算法的实现,以及利用序贯相似检测算法与金字塔算法相结合的目标检测方法;最后描述了用目标偏移量对云台进行控制实现自动跟踪
踪的过程。通过在实际海防视频监控系统中的应用,对运动目标跟踪实现方案的有效性、实时性等特性进行了验证。     

寻找电气故障行之有效的方法—“两分法”和“多分法”

本文介绍了“两分法”和“多分法”寻找电气故障的全部过程,掌握规律,集中目标,安全、排除故障,提出了设备的运转率。     

Web Page Recommendation Using Distributional Recurrent Neural Network

In the data retrieval process of the Data recommendation system, the matching prediction and similarity identification take place a major role in the ontology. In that, there are several methods to improve the retrieving process with improved accuracy and to reduce the searching time. Since, in the data recommendation system, this type of data searching becomes complex to search for the best matching for given query data and fails in the accuracy of the query recommendation process. To improve the performance of data validation, this paper proposed a novel model of data similarity estimation and clustering method to retrieve the relevant data with the best matching in the big data processing. In this paper advanced model of the Logarithmic Directionality Texture Pattern (LDTP) method with a Metaheuristic Pattern Searching (MPS) system was used to estimate the similarity between the query data in the entire database. The overall work was implemented for the application of the data recommendation process. These are all indexed and grouped as a cluster to form a paged format of database structure which can reduce the computation time while at the searching period. Also, with the help of a neural network, the relevancies of feature attributes in the database are predicted, and the matching index was sorted to provide the recommended data for given query data. This was achieved by using the Distributional Recurrent Neural Network (DRNN). This is an enhanced model of Neural Network technology to find the relevancy based on the correlation factor of the feature set. The training process of the DRNN classifier was carried out by estimating the correlation factor of the attributes of the dataset. These are formed as clusters and paged with proper indexing based on the MPS parameter of similarity metric. The overall performance of the proposed work can be evaluated by varying the size of the training database by 60%, 70%, and 80%. The parameters that are considered for performance analysis are Precision, Recall, F1-score and the accuracy of data retrieval, the query recommendation output, and comparison with other state-of-art methods.     

The use of mindmapping software for patent search and management

Modern information technologies and in particular the internet have revolutionized the patent information professionals' work in terms of speed of access and information comprehensiveness from both company internal and external digital sources. Here, I describe how the digital mindmapping technique can be used to complement existing intellectual property management software solutions to meet the challenge of optimizing and managing patent search workflows as well as to rapidly organise and access highly dynamic, heterogeneous and scattered patent information sources. Both eye catching and highly memorable and at the same time self-explanatory mindmapping examples are presented. These were designed to include basic and advanced level digital mindmapping features tailored to significantly speed up and maintain a high work quality level of patent search professionals. A special emphasis is put on the great benefit of organising and accessing the plethora of internet-based worldwide online patent registers through mindmapping, both in terms of managing the constantly changing deep links to the actual search options for e.g., legal status information, and keeping track of the offered level of content.     

分数阶Fourier变换域极值搜索的混沌优化算法研究

正如傅里叶变换采用正弦基,单频信号能够在频域形成峰值,分数阶Fourier变换采用线性调频基,线性调频(LFM)信号能够在分数阶Fourier域上实现聚焦,利用此聚焦性通过搜索峰值可实现LFM信号检测和参数估计.通常采用步进式搜索方法,效率低下.为了克服该缺点,通过对分数阶Fourier域优化问题本质的研究,将混沌优化算法引入到分数阶Fourier域极值搜索中.仿真结果表明:本文的方法优于传统的步进式搜索法.     

吊放声纳搜索效能通用仿真模型研究

通过对吊放声纳作战机理的详细分析,以蒙特卡洛法为基础建立了吊放声纳搜索效能的通用仿真模型,并通过仿真实例对模型进行了应用和验证.该模型适用于对各种作战条件下使用各种作战方法时吊放声纳搜索效能的仿真计算.     

基于晶格的人工内分泌系统模型及在多机器人系统中的应用

为了解决多机器人系统分布式控制问题,借鉴人体内分泌系统研究的理论成果,提出基于晶格的人工内分泌系统模型.该模型以环境晶格化为基础,以细胞智能化为依托,以累加激素为纽带,以靶细胞为导向,能够适应外环境的持续变化,保持内环境的相对稳定,充分体现人体内分泌系统的自组织和自修复特性.实验结果表明,无需复杂的集中控制策略,基于该...     

基于动态二进制搜索算法的改进防碰撞算法

该文在动态二进制搜索算法的基础上提出了一种新的防碰撞算法,该算法充分利用已得到的冲突信息,有效减小判断过程中数据的传输量。通过对新算法的分析,可知本算法相对于动态二进制搜索算法有明显的优势。     

快速高精度除法算法的FPGA实现

为在现场可编程门阵列(FPGA)中实现快速高精度除法,在传统的倒数除法的基础上,提出一种改进算法.对倒数求解采用泰勒级数展开结合优化搜索逼近,求出各个分区间内的拟合一次两项式,再通过一次牛顿迭代提高精度.时序仿真结果表明,以该算法构建的除法器易于在FPGA上实现,时延仅为6个时钟周期,能达到2(-34)的有效精度和86...