该机制通过检验传感器本地采样值构成的时空相似度与传感器行为随机过程统计特征的符合程度实现行为信任认证。
This mechanism realizes behaviour trust authentication by using statistical hypothesis test for matching the reading sequence of sensors and statistical characters of the behaviour.
这个过程基于对t统计值的计算,使用概率函数求得随机大的观测值的概率。
This procedure is based upon computing a t statistic and using a probability function to find the probability of observing a value that large by chance.
这个领域的课程包括概率论,统计线性模型,和随机过程。
Courses in this field include probability theory, linear statistical models, and stochastic processes.
本文分析了线性随机系统解过程的小波特征,得到若干性质,并分析了小波展开系统的统计特征及相关程度。
In this paper, the author study wavelet properties of solution processes of linear random system, and analyse their statistics properties and relation rate, the author obtain some new results.
在一定的假设下,可以把启发式搜索看作一种随机取样的过程,从而可以把统计推断方法引进搜索。
Under certain hypothesis a heuristic search can be considered as a random sampling process. Thus, it is possible to transfer the statistical inference method to the heuristic search.
本文结合随机点过程的统计理论和数字信号分析原理探讨了几种神经元放电活动的信号分析方法。
The signal analysis methods based on the statistical theory of stochastic point processes for unit activity of neurons were described.
提出了一种通用性强、适用于广义平稳随机过程非均匀采样信号谱分析的新方法——采样间隔统计分析法。
A new method, the sampling interval stat. analysis method, was set up to analyze the non-uniformly sampling signal of the wide-sense stationary random processes.
机构的工作过程是一个随机过程,为研究这一过程,近年来人们提出了统计动力学。
The working process of mechanism is a stochastic process. In order to research this process, in recent years some people advanced statistical dynamics.
提出扩展统计过程控制模型(ESPC)指导随机性能异常的预防和自修复。
ESPC model is introduced to prevent or self-heal performance exception. ESPC enhances the metrics program of Statistical Process Control (SPC).
本文裒集概率论、数理统计、随机过程若干定理的简捷证法,共五款。
This article presents five concise proofs of theorems on probability theory, mathematical statistics and stochastic processes. The proofs are more comprehensible and simpler than conventional ones.
根据数理统计原理,从随机平稳过程理论出发,提出了一套描述裂隙空间曲面几何形态的三维指标和方法。
According to statistic stationary random process theory, a set of three - dimensional indexes and methods describing the shape of spatial curved surface of rough fracture have been presented.
最后证明基于双重随机样本的统计学习理论的关键定理并讨论学习过程一致收敛速度的界。
Finally the key theorem of statistical learning theory based on random rough samples is proved, and the bounds on the rate of uniform convergence of learning process are discussed.
本文用水文随机模拟的理论和方法,探求符合实测统计特性的全年径流过程的随机数学模型。
Based on the stochastic hydrology simulation theory and techniques, a stochastic mathematical model which can reproduce the statistic characteristics of observed yearly runoff processes is studied.
随机动力学系用概率与统计方法研究自然界、工程及社会中各种随机动力学过程与现象。
Stochastic dynamics studies various stochastic dynamical processes and phenomena in nature, engineering and society using probability and statistics.
引发事件模拟根据相应过程的经验统计,用随机数确定。
According to the experience statistics of the corresponding process, the triggered accident simulation was set by random number.
本文以现场量测的码头门机荷载及运行情况调查资料为依据,确定了该荷载最大值分布的随机过程模型,并对该荷载进行概率统计分析。
A random process probabilistic model of the loading maximum value distribution is determined based on the data of actual measurment and investigated operation situation for gantry crane on wharf.
统计学所研究的过程是不确定的,有一定的随机性,与其他的数学课程教法有所不同。
Statistics by the research process is uncertain, there is a certain randomness, and other math teaching method is different.
噪声之间的负耦合能抑制激光系统的统计涨落,提高激光场的相干性,使激光系统由随机过程向确定过程过渡。
While the negative coupling suppresses the fluctuations in the laser system and changes the system from stochastic process to deterministic process.
采用最小变换方法,给出设计基准期内车辆荷载随机过程最大值概率分布及其统计参数。
By means of the minimum transformation, the maximum distribution of filtered Poisson process and its statistical parameters are given during the design reference period.
本文提出了一个利用搜索过程中不满足赋值的信息进行不满足解数统计的思想,得到了两个有效的MonteCarlo型随机算法。
In this thesis, we present an idea that is to count unsatisfiable solutions by the message of unsatisfiable assignments in searching, and design two efficient Monte Carlo randomized algorithms.
从事高等数学、线性代数、概率统计、高等代数、矩阵理论、数理统计、随机过程等课程。
He has been working on the teaching of Higher Mathematics, Linear Algebra, Probability Statistics, Higher Algebra, Matrix Theory, Mathematical Statistics, and Stochastic Process, etc.
从事高等数学、线性代数、概率统计、高等代数、矩阵理论、数理统计、随机过程等课程。
He has been working on the teaching of Higher Mathematics, Linear Algebra, Probability Statistics, Higher Algebra, Matrix Theory, Mathematical Statistics, and Stochastic Process, etc.
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