一类特殊布尔函数的代数免疫度研究

构造具有好的代数免疫度的布尔函数是布尔函数研究的重要问题之一。基于布尔函数的级联构造方法,给出了一类具有好的代数免疫度的布尔函数;分析了所构造函数的性质,证明了构造布尔函数hn+1与其子函数代数免疫度之间的关系,并确定了已构造一阶级联函数的代数次数、平衡性以及非线性度。研究结果表明,在级联构造方法下,i次级联构造函数比一阶构造H0的代数免疫度有显著提高。     

SDH虚级联中的最优化路径选择

虚级联技术的同步数字体系（SDH）网络中，虚级联组成员的选路将是一个完全非确定多项式（NP-complete）问题．为优化网络资源以及保证新加虚级联组的成员的相对延迟在系统允许的范围内，提出了双向约束路径优化算法（TSOP）．仿真结果表明, 该算法优于已有的k个最短路径算法和可改链路权重的k个最短路径算法．     

以太网交换机集群管理的设计与实现

随着以太网交换机在网络中应用规模的不断扩大,对以太网交换机的有效管理成为一个重要的研究课题。交换机集群管理技术的出现为这一问题提出了一个较好的解决方案。文章在国内起草的《以太网交换机集群管理技术规范》的基础上,重点介绍集群管理的设计与实现,结合实际工作中遇到的问题探讨了集群管理策略。     

多厂家MSTP设备EOS业务互通配置研究

随着MSTP设备的不断发展,在不同厂家MSTP设备互通时缺乏统一的配置规范,没有标准来保证业务质量。通过阐述EOS技术原理,实现虚级联LCAS功能的原理,总结出多厂家MSTP设备互通需要配置的开销字节、封装协议等各项参数,并建立测试模型对配置功能进行验证,为解决互通问题提出了自己的办法。     

一种基于BP和WED的级联译码算法

在研究WED（Weighted Erasure Decoding）算法的基础上,提出了一种新的针对中短LDPC码的BP-WED级联译码算法。BP算法是软输入软输出的算法,当BP译码失败后,其输出软信息进行分级量化,送入WED算法。由于WED算法时间复杂度低,适于硬件实现,因此BP-WED级联译码算法要比BP-OSD等级联译码算法更具有硬件可实现性。仿真显示提出的BP-WED算法是有效的,可以在计算复杂度和性能之间进行较好的折衷。     

级联技术在MSTP数据业务互联中的应用

随着MSTP的规模应用,传输网对数据业务的承载能力已经成为衡量其性能的重要指标。相邻级联和虚级联是MSTP的重要特性,在传输网络向更丰富的业务网络发展过程中起着重要的作用。文章结合具体应用案例,分析了级联技术在MSTP中的特点,并介绍了其具体实现方式。     

人工智能语言处理技术在非结构化案件数据中的应用

随着信息技术的快速发展,以文本、音频形式记录在案的非结构化数据急速增长,传统的案件人工处理方式已经很难满足应用需求,对公安机关案件侦查带来了重大挑战.对此,本文提出了利用人工智能技术领域的自然语言处理技术,对侵财类案件、电信诈骗类案件、团伙类案件等业务类型的信息系统中报警内容、简要案情、询问笔录等特征信息进行提取分析,...     

Analysis of Serial and Hybrid Concatenated Space-Time Codes Applying Iterative Decoding

In this letter, we investigate serial and hybrid concatenated space-time (SC-ST and HC-ST) codes applying iterative decoding topologies. The coding operations are based on the concatenation of convolutional coding, interleaving, and space-time coding along with a multiple-transmitter/multiple-receiver diversity system. Through the analysis of the SC-ST and HC-ST coding systems, improved design specifications can be selected for the component encoders with considerations of the wireless channel characteristics. Based on the iterative decoding process and the optimum parameter selection operations, a considerable improvement in the error rate performance is obtained. For the applied specs, the results indicate that at the frame error rate (FER) 10⁻² level the SC-ST coding system provides a coding gain of approximately 3 dB in comparison to the Tarokh, Seshadri, Calderbank (TSC) space-time (ST) code [1], where the HC-ST coding system provides an additional coding gain of approximately 1 dB beyond the SC-ST code.     

Super FEC技术

结合现有的SuperFEC产品介绍了SuperFEC技术，就其发展现状指出了SuperFEC存在的非标准性和非透明性的缺陷，并提出了SuperFEC规范化的方法。     

DeReFNet: Dual-stream Dense Residual Fusion Network for static hand gesture recognition

Vision-based hand gesture recognition (HGR) system provides the most effective and natural way of interaction between humans and machines. However, the recognition performance of such an HGR system is challenging due to the variations in illumination, complex backgrounds, the shape of the user’s hand, and inter-class similarity. This work proposes a compact dual-stream dense residual fusion network (DeReFNet) to address the above challenges. The proposed convolutional neural network architecture mainly utilizes the strength of global features from each residual block of the residual stream and spatial information from the other stream using dense connectivity. Both the streams are fused to gather enriched information using the feature concatenation module. The efficacy of the DeReFNet is validated using a subject-independent cross-validation technique on four publicly available benchmark datasets. Furthermore, the qualitative and quantitative analysis of the benchmarked datasets illustrates that the DeReFNet outperforms state-of-the-art methods in terms of accuracy and computational time.