The goals, objectives, characteristics, prerequisites, and courses of an information technology curriculum developed at the University of Veszprem in Hungary are discussed. Basic, introductory, and core courses as wel...
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The goals, objectives, characteristics, prerequisites, and courses of an information technology curriculum developed at the University of Veszprem in Hungary are discussed. Basic, introductory, and core courses as well as special subjects are listed, and the program schedule of the five years is presented. The place and role of information engineering in a changing world is discussed, including some thoughts on the role of information technology in the general university curricula.< >
Limit properties of the QSIM algorithm with respect to the spurious behaviours have been analysed in this short paper, in the case of approximating landmark sets and non-qualitative right-hand side functions. It has b...
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A two-layer continuous-time cellular neural network for finding the Radon transform of a binary image is presented. The functionality of this cellular neural network follows from the functionality of the connected com...
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A two-layer continuous-time cellular neural network for finding the Radon transform of a binary image is presented. The functionality of this cellular neural network follows from the functionality of the connected component detector cellular neural network.
Load duration curves play an important role in the planning practice of electric power systems. In the paper, we consider the problem of approximating a load duration curve by a polynomial under monotonicity and some ...
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Load duration curves play an important role in the planning practice of electric power systems. In the paper, we consider the problem of approximating a load duration curve by a polynomial under monotonicity and some other constraints. We show that semi-infinite programming techniques can be applied for solving this problem. A convergent inner-outer method and a finite epsilon-optimal algorithm is proposed.
The paper is concerned with the best approximation of a piecewise constant univariate function with n constant pieces by a similar function with at most k constant pieces, where k < n. We show that for the case of ...
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The paper is concerned with the best approximation of a piecewise constant univariate function with n constant pieces by a similar function with at most k constant pieces, where k < n. We show that for the case of the maximum norm, the general dynamic programming algorithm of complexity O(kn2) can be considerably improved.
A few basic strong approximation results for fixed gain estimators are presented. Both off-line and on-line estimators are considered. The results are first presented for time-invariant systems. Once the appropriate t...
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A few basic strong approximation results for fixed gain estimators are presented. Both off-line and on-line estimators are considered. The results are first presented for time-invariant systems. Once the appropriate techniques and results are developed, the extension of the analysis to time-varying systems is quite easy.< >
Various types of CNNs are summarized and the taxonomy of CNN is given according to the different types of grids, processors, interactions, and modes of operation. Next, the CNN Universal Machine is introduced. The arc...
The programmability (as a stored program) of the CNN Universal Machine is discussed first. It is shown why and in which sense this machine is universal. A new type of algorithm, the analogic one, is introduced. The ap...
The structural control properties of heat exchanger networks has been investigated from the viewpoint of network topology. While the structural stability is independent of topology, the structural controllability and ...
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The structural control properties of heat exchanger networks has been investigated from the viewpoint of network topology. While the structural stability is independent of topology, the structural controllability and observability strongly depend on topology features, like splitting and mixing connections. The dynamics of heat exchanger superstructure has been studied by numerical simulation and qualitative prediction: overshoot and inverse responses have been observed due to splitting and mixing connections
A new statistical pattern recognition method has been developed for detection, recognition or measurement of patterns which are (much) smaller than the measure of the elementary pixel windows in the image screen. In t...
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A new statistical pattern recognition method has been developed for detection, recognition or measurement of patterns which are (much) smaller than the measure of the elementary pixel windows in the image screen. In this measurement the gray-level histogram of the objects examined is compared with the simulated histograms of different (in type or size) possible objects, and the recognition (of shape or measure) is taken on the basis of the comparison. This method does not need ultra-precise movement of the scanning sensors or any additional hardwares. Moreover, the examined pattern should be randomly distributed on the screen, or a random movement of camera (or target or both) is needed. Effect of noises are analyzed, and filtering processes are suggested in the histogram domain. Several examples of different shapes are presented through simulations and experiments.< >
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