A semantic session analysis method partitioning Web usage logs is presented．Semantic W eb usage log preparation MODEL enhances usage logs with semantic．The M arkov chain mode1 based on ontology semantic measurement is used to identi． ing which active session a request should belong to．The corn— petitive method is applied to determine the end of the sessions． Compared with other algorithms，more successfu1 sessions are additionally detected by semantic outlier analysis．
标签： usage partitioning presented semantic
上传时间： 2016-08-06
上传用户：gxrui1991
Java分页组件 JPage。 现在已经是1.5版本。铺助实现分页功能。铺助输出跳转按钮链接地址。让程序员无需涉及页数方面的问题，在control中能专注于MODEL的开发.
上传时间： 2016-08-14
上传用户：hfmm633
吐血奉献，Programming the Windows Driver MODEL三合一，里面有第一版，第二版的英文版，还有第一版的中文版，译的还不错。学习windows驱动开发的宝典。
标签：
上传时间： 2016-08-21
上传用户：sssl
该代码为fortran代码，用来计算GPS信号的电离层延迟。用Klobuchar Ionospheric MODEL计算。
上传时间： 2016-08-23
上传用户：dongqiangqiang
In this paper we describe a control methodology for catching a fast moving object with a robot manipulator, where visual information is employed to track the trajectory of the target. Sensing, planning and control are performed in real-time to cope with possible unpredictable trajectory changes of the moving target, and prediction techniques are adopted to compensate the time delays introduced by visual processing and by the robot controller. A simple but reliable MODEL of the robot controller has been taken into account in the control architecture for improving the performance of the system. Experimental results have shown that the robot system is capable of tracking and catching an object moving on a plane at velocities of up to 700 mm/s and accelerations of up to 1500 mm/s2.
标签： methodology describe catching control
上传时间： 2014-01-12
上传用户：qq521
This a very simple baseband simulator for SC-FDMA system. This simulator is part of the upcoming book “Single Carrier FDMA: A New Air Interface for Long Term Evolution” (Wiley, Nov. 2008) which I co-authored with professor David J. Goodman at Polytechnic University. The purpose of this simulator is to give some concrete idea of how SC-FDMA system works. It does lack many realistic and sophisticated features such as channel coding, time-varying fading channel MODEL, soft decision decoding, etc. Regardless, I am hoping that it will help you understand SC-FDMA which is a fairly new development in 3GPP LTE.
标签： simulator This baseband upcoming
上传时间： 2016-08-26
上传用户：小草123
该程序介绍了如何产生瑞利衰落信道，采用的模型是Dent MODEL（修改过的Jakes MODEL）。
上传时间： 2014-01-12
上传用户：kytqcool
The tca package is a Matlab program that implements the tree-dependent component analysis (TCA) algorithms that extends the independent component analysis (ICA), where instead of looking for a linear transform that makes the data components independent, we are looking for components that can be best fitted in a tree structured graphical MODEL. The TCA MODEL can be applied in any situation where the data can be assumed to have been transformed by an unknown linear transformation.
标签： tree-dependent implements component analysis
上传时间： 2016-09-17
上传用户：cazjing
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the MODEL representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate MODEL. The misfit is equal to zero if and only if the MODEL is exact and the smaller the misfit is (by definition) the more accurate the MODEL is. The considered MODEL class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order
标签： identification considered features separati
上传时间： 2016-09-20
上传用户：FreeSky
A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction. KEYWORDS: subspace identification, deterministic subspace identification, balanced MODEL reduction, approximate system identification, MPUM.
标签： identification time-invariant presented emphasis
上传时间： 2013-12-28
上传用户：wfl_yy
