这种机制保证了对时分复用（time-multiplexed）系统资源的访问（CPU、网络或磁盘带宽）。
The reservations guarantee access to time-multiplexed system resources (CPU, network, or disk bandwidth).
网络提供者们不担保某种程度的服务质量，仅承诺将尽力而为，这可能对个人电邮不算什么，但是对时间敏感的数据比如视频就很重要了。
Network providers do not guarantee a certain quality of service, but merely promise to do their best. That may not matter for personal e-mails, but it does for time-sensitive data such as video.
在全球化背景下，分布式供应链网络越来越强调其运作的协同管理，和市场需求对时间的敏感性。
In the background of globalization, the distributed supply chain networks increasingly emphasize collaborative management, and Market demands for the time Sensitivity.
该模型利用过程神经元网络所具有的对时间变量的非线性映射能力，实现系统的输入、输出之间的连续映射关系。
In this model, the continuous input-output mapping of the system is realized by nonlinear mapping capability to the time variable of process neural networks.
动态贝叶斯网络(DBN)，以其扩展性和对时间序列的强大描述、推导和学习能力，逐渐被应用于连续语音识别中。
Dynamic Bayesian Network (DBN), because of extensibility, powerful description, inference and learning abilities for the time series, being used in the speech recognition.
该文提出采用拟合偏差方法进行时钟调整的策略，以有效克服网络延迟和抖动对时钟同步的影响。
This paper adopts a strategy of fitting offset to adjust time, to conquer the impact of network delay and jitter on clock synchronization effectively.
基于空间信息的网络瞄准系统可以对时间敏感目标进行快速地发现、识别、跟踪、定位和打击。
The networked targeting system based on spatial information can perform fast detecting, identifying, tracing, positioning, and striking of time-sensitive targets.
该文在考虑过程神经网络对时间聚合运算的复杂性的基础上，提出了一种基于函数正交基展开的学习算法。
In consideration of the complexity of the aggregation operation of time in process neural networks, a new learning algorithm based on function orthogonal basis expansion is proposed.
以网络时间协议为基础，提出了对海军作战指挥一体化系统的网络对时体系结构。
This paper introduces the network time protocol and presents an approach to design the time synchronization system of our navy command system.
对时频域混合方法加以改进用于分析电源分配网络同步开关噪声。
The hybrid time-frequency method was modified to analyze the simultaneous switching noise in power distribution network.
对时变时延多包传输网络控制系统的指数稳定性和控制器设计问题进行研究。
Exponential stability and controller design problems for networked control system (NCS) with time-varying delay and multiple-packet transmission were studied.
当前对时间认知的脑机制探讨有三个模型：特异化计时模型、分布网络模型和定域计时模型。
At present, there are three models of the neural mechanisms for temporal cognition: the specialized timing model, the distributed network timing model and the local timing model.
论文主体部分主要对时间依赖网络车辆路径问题进行了分析研究，分为确定需求和动态需求两部分。
The main body of this paper researches TDVRP, which is made up with two parts—deterministic demands and dynamic demands. The first part analyzes the TDVRP with deterministic demand.
对时间序列的一类预测模型进行了研究，把灰色模型与BP神经网络模型组合建模，通过实例分析取得好的效果。
In this paper, by using the gray system theory and the dynamic BP neural network, the combination forecasting model are discussed.
论文首先对时域有限差分方法的原理、传输线理论以及微波网络理论予以介绍。
Fundamental principles of FDTD method, basic theory of transmission line and microwave network are first introduced.
该方案由于增加了优先 级机制、信息加密和虚拟载波监听（VCS）等技术，使网络在实际应用中，在可靠性、安全性和满足不同控制 信息对时间的要求等方面，有所改善。
And then PRI, information encryption and VCS are add to this PLC scheme, and these effective measures improve the home control network characteristics on reliability, security and response time.
绝对时间服务器是一个高性能的服务器解决方案和在任何规模的网络可靠的不间断运行优化。
Absolute Time server is a server solution optimized for high performance and reliable non-stop operation in networks of any size.
同时，对时延及时延抖动比较敏感的多媒体业务的不断出现，在极大的丰富了网络资源的同时也引入了在现有网络中如何保证其传输品质的问题。
At the same time, the multimedia services which are sensitive to delay and delay jitter enrich the network resources, but also put forward the question of how to assure its quality in network.
该文提出采用拟合偏差方法进行时钟调整的策略，以有效克服网络延迟和抖动对时钟同步的影响。
A strategy of fitting offset to adjust time is proposed to conquer the impact of network delay and jitter on clock synchronization effectively.
该方案能有效改善延迟容忍网络的传输时延，满足对时延要求比较敏感的业务的要求。
The simulation results indicate that the scheme can improve the network transmission latency of DTN, and meet the requirements of latency sensitive services.
首先，提出了一种新的迭代神经网络估计器，并证明了其逼近引理，实现了对时变不确定性的逼近。
Firstly, an iterative learning neural network approximator (ILNNA) design scheme and corresponding boundedness lemma is proposed to approximate time-varying uncertainties.
该文提出采用拟合偏差方法进行时钟调整的策略，以有效克服网络延迟和抖动对时钟同步的影响。
The aim of this thesis is to present a new strategy of fitting offset to adjust time in order to achieve the effective synchronization between slave nod and reference node.
该文提出采用拟合偏差方法进行时钟调整的策略，以有效克服网络延迟和抖动对时钟同步的影响。
The aim of this thesis is to present a new strategy of fitting offset to adjust time in order to achieve the effective synchronization between slave nod and reference node.
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