token n. 象征,记号,标记;表示物,证物;纪念品;代币,代价券;【语言学】语言符号;【英史】私铸货币;【圣经】前兆;暗号。 adj. 作为标志的;象征性的。 a token of love 爱的象征。 as a token of=in token of. by (the same) token 据此看来;而且,还有;更加,越发。 by this [that] token 照这个[那个]看来。 in token of 作为…的标志〔表示,证物,象征,纪念品〕。 more by token 〔古语〕 = by the same token . reduce ... down to token contingents 把…裁减[缩减]到象征性的限额。
generation n. 1.代〔约30年〕,世代,时代;同时代的人。 2.一代[一世]。 3.生殖,生育;发生,产生。 4.【数学】(面、体、线的)形成。 5.完善化阶段,完善化方案,完善化的模型;发展阶段。 a generation ago 约三十年前。 alternation of generations 【生物学】世代交替。 the present generation现代;现代人。 the last [past] generation上一代。 the first generation第一代 (the first generation university students 第一代大学生). future generations 后代。 the beat generation“垮掉的一代”〔美国青年中的颓废派〕。 the rising [coming] generation下一代。 the younger [older] generation年轻[年老]的一代。 for generations 一连好几代,祖祖辈辈。 generation after generation = from generation to generation 世世代代。
This can lead to some security issues should the token generation mechanism or header generation mechanism become easily counterfeited 这可能会产生一些安全问题,伪造标记或header的产生机制会变得很容易。
The traffic model and a suit of differential equations presenting the status of the system are given first, from which an objective function is derived, and then the transmission is optimally controlled by the neural network which is characterized by nonlinear map and the particle swarm optimization algorithm which is characterized by stochastic optimization, namely the neural network is employed to generate variable rate of token generation, and the particle swarm optimization algorithm with inertia weight is employed to optimally train neural network in the form of finding a sub-optimal resolution in acceptable computation time 本文给出了传输控制的系统模型及其系统各状态的差分方程表示,由此推导出了系统的代价函数。然后利用神经网络的非线性映射的功能和基于概率寻优的粒子群优化算法对系统进行优化控制,利用神经网络控制令牌桶的可变令牌产生速率,利用带惯性权重的粒子群优化算法对神经网络的权值进行优化训练,使其在可以接受的时间内达到次优解。
In order to prove its feasibility and superiority, a segment of mpeg-4 encoded streaming video is used for simulation . the experimental results and analyses show that this method outperforms the traditional ones that are based on the fixed token generation rate in the same condition of network throughput 通过选取的一段mpeg-4编码的流媒体视频实验数据进行了仿真实验,通过实验结果数据的分析和对比可以看出,该控制方法在网络输出能力一定的条件下,比传统的人为设置固定的令牌产生速率的方法所达到的效果要好的多。