无人机数据链动态电磁干扰环境模拟

In order to test the anti-interference ability of an Unmanned Aerial Vehicle (UAV) data link in a complex electromagnetic environment, a method for simulating the dynamic electromagnetic interference of an indoor wireless environment is proposed. This method can estimate the relational degree between the actual face of an UAV data link in an interface environment and the simulation scenarios in an anechoic chamber by using the Grey Relational Analysis (GRA) theory. The dynamic drive of the microwave instrument produces a real-time corresponding interference signal and realises scene mapping. The experimental results show that the maximal correlation between the interference signal in the real scene and the angular domain of the radiation antenna in the anechoic chamber is 0.959 3. Further, the relational degree of the Signal-to- Interference Ratio (SIR) of the UAV at its reception terminal indoors and in the anechoic chamber is 0.996 8, and the time of instrument drive is only approximately 10 祍. All of the above illustrates that this method can achieve a simulation close to a real field dynamic electromagnetic interference signal of an in-door UAV data link.     

基于改进模糊综合评价模型的城市人居环境评价体系研究

为了对城市人居环境质量做出科学、客观的评价,提出一种改进的模糊综合评价模型,并将改进的模糊综合评价模型应用于城市人居环境质量的评价中。结合城市人居环境的特点,通过环境要素、环境设施和环境管理建立评价指标体系,并将层次分析法与群体决策相结合来确定评价指标权重,采用模糊综合评价模型和灰色关联分析算法确定城市人居环境的评价等级。通过实例结果可知,算法既能针对城市人居环境某方面进行评价,也能对城市人居环境的整体情况进行评价,评价结论客观、准确,计算过程简单,易用编程,为促进城市人居环境质量的改善提供可靠的决策支持。     

影响电波暗室场地电压驻波比测试的因素分析

介绍场地电压驻波比互易法测试系统的搭建及场地布置,并结合详细的实测数据着重讨论影响场地电压驻波比测试结果的因素和测试中可能会出现的问题,如墙面的反射、电缆的放置和构成天线架的材料等。据此提出了相应的解决措施。     

TD-HSPA控制信道空分复用技术创新应用

TD-SCDMA系统对于要支持4倍空分复用功能需至少配置相应4对数的HS-SCCH/HS-SICH控制信道,这使得HSPA带宽降低或接入用户数下降,影响HSPA业务信道空分复用的效果容量.为此,提出了控制信道空分复用技术,它有效的解决了该问题.     

光学法检测超精加工面表面粗糙度的新进展

本文针对超精加工面的测量特点,介绍近年来光学法检测表面粗糙度的进展。     

TC-BAC: A trust and centrality degree based access control model in wireless sensor networks

Access control is one of the major security concerns for wireless sensor networks. However, applying conventional access control models that rely on the central Certificate Authority and sophisticated cryptographic algorithms to wireless sensor networks poses new challenges as wireless sensor networks are highly distributed and resource-constrained. In this paper, a distributed and fine-grained access control model based on the trust and centrality degree is proposed (TC-BAC). Our design uses the combination of trust and risk to grant access control. To meet the security requirements of an access control system with the absence of Certificate Authority, a distributed trust mechanism is developed to allow access of a trusted node to a network. Then, centrality degree is used to assess the risk factor of a node and award the access, which can reduce the risk ratio of the access control scheme and provide a certain protection level. Finally, our design also takes multi-domain access control into account and solves this problem by utilizing a mapping mechanism and group access policies. We show with simulation that TC-BAC can achieve both the intended level of security and high efficiency suitable for wireless sensor networks.     

计算机应用于词频统计的算法研究

首次提出自适应词频统计算法,该算法突破传统的思维模式,排除了在词频统计中预先设定庞大词库、对不同文章建立统一标准的复杂性,而以目标文章为基础,根据每篇文章的主题,动态生成切合该目标文章的统计标准,从而提高词频统计的效率;其基本原理是以文章为独立单位,确定一个关系场,在场中,从主标题出发,以关系微量为基本元素,以文章整体即关系场为计算区间,进行迭代累加,以组成文中各种固定组合,并对其进行记录与分析,将重复一定次数的固定组合上升为词,该词的集合即为本算法所求;最终以软件实现该算法思想,并进行了百篇文章的统计试验;实验结果表明,该算法具有一定的准确性、稳定性,提高了效率。     

基于数学形态学和BP神经网络的足趾形状识别方法

根据足趾二值图像形状特征,提出基于数学形态学消散度技术的足趾形状特征提取及BP神经网络聚类的足趾形状识别方法。该法依据数学形态学理论提取物体形心,仅受较少边界凹点影响,对噪声不敏感,比几何中心稳定。提取边界上距形心距离稳定并能区分不同形状的特征点及相互关系,生成特征向量。此向量在二维连续空间中,具有平移、旋转、尺度不变特征;在二维离散应用环境中,由平移、旋转、尺度变化造成误差小,稳定性强。用训练成功的BP神经网络,对不同质量足趾图像识别,均能达到较高识别率。大量实验表明,该法是满足识别精度要求、识别率高于其它方法的一种行之有效的足趾形状识别方法。     

一种改进的短波链路数据传输协议

因特网的迅猛发展,使得IP协议成为事实上的工业标准,各种无线网络也纷纷开始使用IP技术组网,短波IP网络也已经出现。在短波链路上传输IP报文通常采用ARQ模式,以对网络层提供报文的无错传输。目前ARQ传输协议普遍采用选择式重发策略,在数据帧中加入帧序号,以确保收方能对数据帧重新排序。为提高IP报文在短波链路上的传输效率,对现有的短波链路选择式重发ARQ协议进行了分析,针对收发双方的通信流程进行了改进,提出了一种无帧序号的ARQ传输协议。测试结果表明,在同样的信道状况下,改进后的协议吞吐率性能有了一定的提高。最后就如何进一步提高该协议性能进行了思考。     

Research on social network influence maximization algorithm based on time sequential relationship

For the time sequential relationship between nodes in a dynamic social network,social network influence maximization based on time sequential relationship was proved.The problem was to find k nodes on a time sequential social network to maximize the spread of information.Firstly,the propagation probability between nodes was calculated by the improved degree estimation algorithm.Secondly,in order to solve the problem that WCM models based on static social networks could not be applied to time sequential social networks,an IWCM propagation model was proposed and based on this,a two-stage time sequential social network influence maximization algorithm was proposed.The algorithm used the time sequential heuristic phase and the time sequential greedy phase to select the candidate node with the largest influence estimated value inf (u) and the most influential seeds.At last,the efficiency and accuracy of the TIM algorithm were proved by experiments.In addition,the algorithm combines the advantages of the heuristic algorithm and the greedy algorithm,reducing the calculation range of the marginal revenue from all nodes in the network to the candidate nodes,and greatly shortens the running time of the program while ensuring accuracy.