Electroencephalography is an important diagnostic tool for functional investigations of the human brain. Recent EEG measurement technologies provide high numbers of electrodes and sampling rates, which results in a co...
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Electroencephalography is an important diagnostic tool for functional investigations of the human brain. Recent EEG measurement technologies provide high numbers of electrodes and sampling rates, which results in a considerable quantity of data. For the analysis of this EEG data, efficient signal analysis and decomposition methods are essential. In this paper a new method for spatial harmonic analysis of EEG data using the Laplacian eigenspace of the meshed surface of electrode positions is presented. The resulting eigenspace enables the spatial harmonic analysis, filtering, denoising and decomposition of EEG data. For a proof of concept, the proposed approach is applied to an 128 channel EEG recording of visual evoked potentials. A set of harmonic spatial basis functions for the EEG electrode setup is estimated. The EEG data are spatially decomposed and low pass filtered using the harmonic spatial basis functions.
The present paper deals with control of system consists surge tank, pump a and pipeline. Model of this system is based on hydro-electrical analogy. For purpose of control it is designed a regulator with estimator. Reg...
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The present paper deals with control of system consists surge tank, pump a and pipeline. Model of this system is based on hydro-electrical analogy. For purpose of control it is designed a regulator with estimator. Regulator is developed by pole-placement method. Numerical solutions of this model are presented at the end of this article.
Delivery route optimization greatly improves the delivery efficiency in terms of all resources including human resources and energy consumption. In our application scenario the distribution network requires solving se...
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There are two methods to design software model, object-oriented and component-oriented. Embedded system has the characteristics of real-time, hierarchy and heterogeneousness. Disadvantage of object-oriented method is ...
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Robust H∞ output feedback control problem for a class of switched linear discrete-time systems possessing norm-bounded uncertainty and time-varying delay is investigated. A switched dynamic output feedback controller...
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The robust H∞ control problem for a class of uncertain switched linear systems by using the variable structure control is investigated. A robust H∞ single sliding surface is shown to exist as long as a convex combin...
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Abstract This paper concerns a trajectory tracking control problem for a pendulum with variable length, which is an underactuated mechanical system of two degrees-of-freedom with a single input of adjusting the length...
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Abstract This paper concerns a trajectory tracking control problem for a pendulum with variable length, which is an underactuated mechanical system of two degrees-of-freedom with a single input of adjusting the length of the pendulum. We aim to study whether it is possible to design a time-invariant control law to pump appropriate energy into the variable-length pendulum for achieving a desired swing motion (trajectory) with given desired energy and length of the pendulum. First, we show that it is difficult to avoid singular points in the controller designed by using the conventional energy-based control approach in which the total mechanical energy of the system is controlled. Second, we propose a tracking controller free of singular points by shaping only the kinetic energy of rotation and the potential energy of the pendulum and not utilizing the kinetic energy related to the motion along the rod. Third, we analyze globally the motion of the pendulum and clarify the stability issue of some closed-loop equilibrium points; and we also provide some conditions on control parameters for achieving the tracking objective. Finally, we present numerical simulation results to validate the presented theoretical results.
One of the biggest problems in sensitive data wiping is to determine if a file is sensitive or not. Data wiping applications have improved a lot, but they cannot determine by themselves if a file is sensitive. The met...
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One of the biggest problems in sensitive data wiping is to determine if a file is sensitive or not. Data wiping applications have improved a lot, but they cannot determine by themselves if a file is sensitive. The method we propose tries to determine if a file is sensitive by using a pre-defined set of rules initially specified by the user. These rules can update themselves in time, by “learning” from data patterns in previous sensitive files. The hard drive is monitored continuously to detect new sensitive data. Also, our method replaces the standard delete function from Windows with a secure wiping algorithm (overwriting data several times with pre-defined passes), but only for files that are determined to be sensitive.
The most powerful methods of systems analysis have been developed for linear control systems. For a linear control system, all the relationships between the variables are linear differential equations, usually with co...
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The most powerful methods of systems analysis have been developed for linear control systems. For a linear control system, all the relationships between the variables are linear differential equations, usually with constant coefficients. Actual control systems usually contain some nonlinear elements. In the following we show how the equations for nonlinear systems may be linearized. But the result is only applicable in a sufficiently small region in the neighbourhood of equilibrium point. The table in this paper includes the nonlinear equations and their the linear approximation. Then it is easy to find out if the nonlinear system is or is not stable;the task that usually ranks among the difficult tasks in engineering practice.
Heuristic reduction algorithm has got an extensive application in decision table; based on rough sets theory and partition of set, the attribute reduction of information systems without decision attributes is discusse...
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ISBN:
(纸本)9781612844589
Heuristic reduction algorithm has got an extensive application in decision table; based on rough sets theory and partition of set, the attribute reduction of information systems without decision attributes is discussed. And a heuristic rule and an algorithm are given out. Some example shows the algorithm is effective and is an instructive attempt.
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