基于改进DynamicTriad模型的足球运动员行为预测

为提升足球运动员训练水平，针对当前足球运动员行为预测出现误判等情况，提出了基于改进DynamicTriad模型的足球运动员行为预测方法。通过传感器获取足球运动员的运动数据，并采用小波分析对运动信号进行去噪处理；采用PCA和RdliefF算法提取运动员特征，将运动员特征输入到DynamicTriad模型中；引入Salton指标改进算法，实现足球运动员行为预测。实验结果表明：该方法可以准确采集运动数据，行为预测正确率最高可达97%。     

基于学生模型的模糊综合评判方法研究

通过对模糊综合评判方法特点进行研究及分析,以模糊综合评判为核心的理论建立一个综合评判系统的模型,并且通过一种改进多级模糊综合评判方法的实现过程。利用此算法设计实现一个多级的"综合评判系统",进行个性化的认知学生模型设计,以便制定个性化的教学策略和合理化的评价,已达到对学生认知水平做出最终判断。     

电力营销客户标签分类方法优化设计

针对当前已有分类方法未能考虑类别标签，导致电力客户满意度大幅度降低的问题，提出优化设计电力营销客户标签分类方法，通过RFM模型识别不同客户的价值，对电力营销客户进行细分；将客户行为通过云模型变换算法转为云模型标签，划分客户类型，完成营销客户标签分类结构研究；依据标签分类结构三大节点特征，构建电力营销客户标签分类平台层；将得到的云模型作为营销活动的指导，完成电力营销客户标签分类方法优化。通过实验研究显示，所设计方法优化后标签分类使用效率提高，优化后的方法性能更佳。     

基于改进遗传算法的FIR数字滤波器优化设计

借助云模型的思想将云模型和遗传算法相结合,对FIR数字滤波器进行优化设计.通过Matlab仿真验证了这种改进算法的有效性,并取得了比使用传统遗传算法来进行FIR数字滤波器优化设计更好的优化效果.     

基于云服务交付模型和原则的应用实践

从实际应用中不同类型云服务交付全景的维度出发,探讨在云服务交付过程中云服务提供商和云服务用户需要共同遵循的交付原则,并提出基于交付模型和原则指导云服务的使用模式。     

基于信任度的网格安全访问模型的研究

网格安全问题一直是网格研究的核心问题和难点。文中尝试以信任度评判机制来衡量网格系统中的访问可信度，基于建立的信任度模型，将信任度动态评判方法引入到网格安全访问模型中，并论证了在网格系统安全中引入信任度评估机制的可行性和合理性。     

云存储技术架构与结构模型分析

知名搜索引擎google其快速检索的功能为人称道,而其后台正是50000台服务器为其提供实时服务,将这些服务器通过相应的检索软件实现对外提供数据存储、检索、业务访问的功能系统,这就是云存储技术。当前世界上很多公司都使用了云存储技术。在未来使用云存储技术是一个发展趋势,会有越来越多的用户把对于计算机的需求通过网络转移到云存储上。而对于云存储技术架构与结构模型研究重视程度将逐渐提升。     

基于改进哈希算法的云服务平台负载均衡模型构建

信息技术水平的进一步提升使云服务平台应用越发广泛,也带来了用户的大量涌入,使得云服务平台负载不均衡的问题频发。因此,构建了基于改进哈希算法的云服务平台负载均衡模型。首先进行云服务平台数据预处理,然后改进哈希算法的低秩表达方式,优化云服务平台节点映射方式。构建云服务平台负载均衡模型,统计基于改进哈希算法的云服务平台负载状态,结合统计结果对负载均衡指标的进行选取,以此实现云服务平台负载均衡。最后设计了云服务平台负载均衡模型的对比实验,实验结果验证了该模型的并行性更好,达到了研究预期。     

隶属云辛普森模型在跳频码发生器中的应用

隶属云模型是定性和定量之间转换的工具，用其数字特征的期望值E，熵σ，超熵h三个数值建立了辛普森云模型和变形辛普森云模型，分析了模型的统计分布，导出了概率密度公式，实现了它们在跳频码发生器中的应用。     

云计算数据中心能效评估方法研究

文章针对高密度云数据中心缺乏系统、规范的能效评估方法问题,研究了影响云中心机房设备能效的关键因素,建立其能效评估指标体系,以灰关联模型为基础提出了改进的多维关联能效评估模型,旨在具体、有针对性地反映云数据中心的能效水平。同时以深圳和东莞两个数据中心为样本,利用改进的多维关联模型进行能效评估,根据评估结果提出针对性的节能减排建议。     

基于AHP-云模型的雷达对抗装备组网作战效能评估

作战效能评估对武器装备的作战运用具有重要意义。根据评估指标体系构建原则建立了雷达对抗装备组网系统作战运用评估指标体系,并对指标进行了分析。然后综合运用层次分析法和云模型评估方法对系统效能进行了评估。     

Modeling uncertainties for passive microwave precipitation retrieval: evaluation of a case study

Physically based microwave spaceborne techniques for rainfall retrieval are usually trained by simulated cloud-radiation databases (CRDs) composed of cloud profiles and associated brightness temperatures (TBs). When generating the database, the evaluation of the associated modeling uncertainties is crucial for retrieval error estimation. However, this is extremely complex due to the large number of free parameters. In this work, a possible methodology for taking into account CRD-related modeling uncertainties is proposed. The methodology-fairly general-is here applied to a limited dataset (a cloud-model resolved numerical output of a tropical cyclone). The modeling errors are obtained from systematic TB sensitivity tests associated to several parameters: particle sizes, temperature, ice content, sea surface wind speed, viewing angle, footprint size, radiative transfer schemes, melting phase, and particle shape. TB uncertainties are eventually summarized in a modeling error covariance matrix representing the intrinsic variability of the generated CRD. For comparison with real observations, the TBs are simulated at the spatial resolution, viewing geometry and frequencies of the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI). The matrix is evaluated with respect to TMI data in terms of an indicator called database matching index. Since they are based on a single case study and suffer from the lack of direct coupling of the radiative transfer with the cloud-resolving model, the provided results should not be considered an exhaustive evaluation of cloud-radiation modeling errors. Nevertheless, they may be considered a valuable starting point for error characterization, since extensions to larger databases could definitely improve modeling error budgets.     

红外成像系统仿真技术的现状与未来

利用计算机进行红外成像系统的仿真有助于系统的整体设计,同时也是评价系统性能的有力工具。人们在这一领域做了大量工作,并取得了良好的效果。 文中概述了红外成像系统计算机仿真技术所采取的重要技术路线、研究方法和研究成果的现状,介绍并比较了现有的几个典型仿真模型,并提出了几点看法。     

Improving assurance of a sustainable route-split MANET routing by adapting node battery exhaustion

Assurance networks are designed to realize trustable Internet-Of-Things including terminal devices/infrastructure service applications for new generation networks. To construct assurance networks, it is necessary to evaluate them quantitatively. In this paper, we provide one of case studies to evaluate them quantitatively. In mobile ad hoc networks (MANETs), the network environments change over time due to the movement of nodes, the battery level of nodes, and so on. Assurance networks must maintain high performance even when such diverse changes of the network environments occur in the widely applicable domain. And if their performance degrades, they must early recover from the changes. So far, we have proposed a routing method for MANETs, called Route-Split Routing (RSR). RSR can suppress escalation of control packets in large scale MANETs. However, with RSR, drawbacks occur when some nodes exhaust their batteries. In this paper, we propose a sustainable route-split routing scheme to improve assurance by adapting node faults due to battery exhaustion for MANETs. To evaluate the assurance of the proposed method, we have implemented it with a simulator and have conducted simulation experiments. The results indicate that the proposed method can maintain high throughput when some nodes experience various levels of battery power and power consumption and even when some nodes die simultaneously.     

基于支持向量机的克隆代码有害性评价方法

克隆代码是软件中彼此相似的代码片段。传统观点认为克隆代码是有害的，会降低软件质量，但最近研究发现克隆代码不一定是有害的。如何评估克隆代码的有害性是一个值得研究的问题。本文提出了一种基于支持向量机的克隆代码有害性评价方法，可以以较高的准确性和查准率评价其有害性。为验证方法有效性，本文在6个系统上进行实验，结果表明本文方法可以有效地评价克隆代码的有害性，并且所提出的静态度量和演化度量对评价克隆代码有效性具有积极意义。     

Performance analysis of cellular networks

Dynamic channel allocation can reduce the probability of blocking in cellular telephone networks. However, more is needed to achieve optimal performance. The author aims at estimating the minimal blocking probability for some simple cellular networks. Some dynamic channel allocation strategies are analyzed, the optimal performance (obtained by dynamic allocation and flow control) of some very simple networks is computed, and simple bounds on optimal performance are presented. These results lead to a better understanding of cellular networks and can be used to evaluate new control algorithms     

Performance of Multibeam Packet Satellite Systems with Conflict Free Scheduling

The concept of a multibeam satellite system With on-board processing and memory is studied. In this system multiple slotted ALOHA uplinks carry the traffic to the satellite. Packets are accepted at the satellite, when memory is available, and are routed to their destination zones using a TDM protocol. We present a model which can be used to evaluate a satellite system with conflict-free scheduling, i.e., a system in which several packets can be simultaneously chosen for downlink transmissions, given each earth zone is served by at most one satellite transponder in each slot. We compute the system throughput, packet delays, and buffer overflow probabilities for a general configuration. It is shown that for some configurations the one beam per zone restriction can have a significant effect on the system performance. The presented model can be also used to evaluate satellite systems when this restriction is removed and to evaluate a variety of other satellite systems.     

基于高分辨率SAR图像的打击效果评估

研究了基于特征提取的SAR图像理解问题,提出了一个基于高分辨率SAR图像的人造目标打击效果评估系统,该系统包括目标检测、目标提取、特征提取和分级评估四个模块,并重点分析了系统中特定人造目标如建筑物特征信息的选择和提取等问题.经过适当扩展和改进,该系统可用于各种不同人造目标的打击效果评估和自动识别.仿真结果表明,该系统可有效地对人造目标的打击效果如是否摧毁、摧毁程度以及目标受摧毁部位等进行评估.     

改进的快速评估实际光子晶体光纤特性的方法

将数字信号处理技术和有限元方法相结合,提出了一种改进的快速评估实际光子晶体光纤特性的方法。针对光纤截面的数字图像中出现空气孔断裂的情况,应用数字化的方法自动检测断裂的空气孔边缘,并采用边缘生长方法自动连接断裂的空气孔,以重建用于光子晶体光纤分析的光纤截面信息。在此基础上,结合有限元方法实现了对实际光子晶体光纤特性的快速评估。结合已有的商用的光子晶体光纤对提出的改进方法进行了验证,结果表明:该方法可以有效、快速评估光子晶体光纤的特性,为一些复杂的难以测量光纤特性的评估提供了一种有效方法。