Uuid is a unique random number that gets generated with uuidgen utility which USES network address information and system time.
uuid是一个惟一的随机数，是由uuidgen实用程序使用网络地址信息和系统时间生成的。
Use Neural Network to control unfounded model nonlinear random system.
应用神经网络对未建模型的非线性随机系统进行控制。
Under the wireless communication network environment, based on the average queue length and waiting time, an improved Random Early Detection (RED) algorithm is proposed.
在无线通信网络环境下，提出了一种改进的基于平均队列长度和等待时间的随机提前检测算法。
A mathematical model is proposed to describe random network which has the same marginal distribution and the boundary condition as BA model.
给出一种严格的数学模型描述随机网络，该模型与BA模型有相同的边际分布和边界条件。
In this paper, we proposed a mathematical model to describe random network which has the same marginal distribution and the boundary condition as BA model.
本文给出一种严格的数学模型描述随机网络，该模型与BA模型有相同的边际分布和边界条件。
In this paper, the vulnerability of a random edge weight network is discussed.
本文将讨论随机边权网络的脆弱性。
For example, initial substrate of the network may not be a regular graph, but a random graph.
例如，初始网络可能不是一个规则网络，而是一个随机网络。
The simulation results show that this method can strengthen the processing capability of congestion and random errors, and it can also improve the throughput of the network efficiently.
仿真结果表明，该方法增强了网络对拥塞以及随机差错的判断处理能力，有效提高了网络的吞吐量。
In this paper, we extend the idea of DEDS (Discrete Event Dynamie System) theory and present a fast parallel algorithm for communication network random simulation.
引入现代控制科学离散事件动态系统摄动分析思想，提出通信网络随机模拟的快速并行算法。
A specific network of neurons is needed for a specific percept, not any random collection of neurons that become highly active.
特定知觉需要特定的神经元网络，而非极度活化神经元的随机组合。
The neural network model of the equivalent complex refractive of random rain media is developed by means of the improved BP algorithm, based on the electromagnetic wave propagation theory.
利用改进的BP算法，结合电波传播理论，建立了随机雨介质的等效复折射指数的神经网络模型。
As is well known, pure video stream only can be played orderly, and can't be random accessed or played in network. File format is designed to solve these problems.
视频流本身只能顺序播放，不能进行随机访问和网络流化播放，文件封装则是为解决这些问题而设计的。
In this paper, according to the characteristics of non linear network traffic, traffic behaviors are decomposed into trend items, period items, and random items by an accumulation decomposition model.
本文采用一种累加模型将复杂大规模网络流量分解成趋势项、周期项和随机项。
The results of the simulations show that excellent network performance is ensured by this strategy not only on compensating for the constant delay but also on compensating for the random delay.
仿真结果表明，预测控制不仅能对系统的固定网络时延进行补偿，对随机时延也有良好的补偿效果。
Data stream of network is random. Arrival time, length and processing time of data packet are random variable.
网络中的数据流是不确定的，数据包的到达时间、长度和处理时间都是随机变量。
This paper firstly establishes a goods distribution model according to the network knowledge, and attempts to solve the problem of optimal profit of manufacturer under the fixed and random demand.
本文根据网络知识建立了产品分销模型，探求企业在市场需求固定和随机时的最优收益。
A partial random opportunistic SDMA with beam selection (POSDMA -s) method is proposed to enhance the capacity of opportunistic SDMA (OSDMA) system in sparse network.
为解决机会式空分多址系统在稀疏用户网络中容量低的问题，提出了基于部分随机波束选择的机会式空分多址技术。
Because of the fuzzy comprehensive evaluation has subjective and random, we introduce the neural network to improve risk assessment model.
针对模糊综合评判法主观性强，随机性大的缺点，引入模糊神经网络算法对其加以改进。
In this paper, the approaches for recognizing distribution of random data are discussed, and a new approach based on neural network is presented.
本文分析了随机数据分布的识别方法，并提出了基于神经网络的随机数据分布的识别方法。
Secondly, the uncertainty during the process of the spectrum detection is caused by the random of the channel in the Cognitive Radio network.
其次，在认知无线电网络中，由于信道的随机性，造成频谱检测过程中的不确定性。
As we shall see, random access without centralized control can waste a great deal of the scarce resources in the network.
我们应该看到，只有随机接入而无集中控制，会浪费网络中大量的稀缺资源。
The main works in this paper are shown as follows: 1. Network coding technology is introduced especially random linear network coding.
本文主要完成的工作有：1、介绍了网络编码技术，着重介绍了随机线性网络编码。
The trend part of the data can be fitted with BP (back propagation) neural network and the random part is processed by a normal ARMA (auto regressive moving average) model.
采用BP网络对不平稳时间序列进行数据拟合，处理趋势部分，利用ARMA模型处理随机部分。
The random network model is widely used in analysis of the complex network.
在复杂网络分析中，通常采用随机网络模型。
The simulation results show that the mechanism extends the network lifetime effectively compared with fixed sink and random movement sink in different network scale.
仿真实验表明，相比于固定汇聚节点和随机移动汇聚节点，该机制在不同网络规模下都可以更有效地延长网络生存周期，并且节点初始能量越高性能越好。
In studying of a class of random neural network, some of relative researchers have proposed Markov model of neural network.
在一类随机神经网络的研究中，一些研究人员提出马尔科夫神经网络模型。
In a random deployment wireless sensor network, there are a large number of coverage and connectivity redundant nodes, which waste energy, and affect network performance.
随机部署的无线传感网络通常包含大量的覆盖与连通冗余节点，这些节点不仅造成大量的能源浪费，同时影响网络的性能。
Time complexity of establishing network with random multiple access methods in one-hop network for wireless sensor network is presented.
针对无线传感器网络，研究了几种核心随机接入方法在一跳网络内组网的时间复杂性问题。
According to the character of non linear network traffic, the traffic time series is decomposed into trend component, period component, mutation component and random component.
文章考虑网络流量非线性的特点，通过不同的数学模型将流量时间序列分解成趋势成分、周期成分、突变成分和随机成分。
The main achievements of the project include: (1) several new approaches for fault detection of Networked Control Systems (NCS) with random and unknown network-induced delay have been proposed.
主要成果包括：（1）提出了多种对未知随机网络延迟具有鲁棒性的网络化控制系统（NCS）的故障检测方法。
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