This paper presents an integrated CAD system for synthesizing high-performance dual rail circuits using DCVS logic. The proposed techniques exploit ROBDDs to provide efficient DCVS trees that fulfill the design rules ...
A novel signal analysis technique is presented and applied for the analysis of seismic data. The main task of the method is the extraction of feature information of a given timeseries. This task is accomplished by the...
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A novel signal analysis technique is presented and applied for the analysis of seismic data. The main task of the method is the extraction of feature information of a given timeseries. This task is accomplished by the implementation of a specifically designed Genetic Algorithm that is utilised for the evolution of conditional sets. The term conditional set refers to a set of boundary conditions. These boundary conditions must be fullfilled by subsequent samples of the timeseries. The imple-mented algorithm was applied on seismic data in order to investigate for the existence of conditional sets that appear more frequently than others. It was found that there exist conditional sets with high probability of appearance. Furthermore, it was found that some of the conditional sets are followed by data samples that apper small deviations from their mean value. It is proposed that conditional sets that combine these two properties (high probability of appearance and small deviation of the next data sample) can account for short-Term prediction of seismic events.
In this paper we address the issue of structural multimedia similarity, which is based on the relations between the individual objects that comprise a multimedia document. We propose a binary string encoding for ID re...
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Interactive multimedia documents are rapidly becoming available on the WWW. Navigating in such large document repositories requires flexible retrieval techniques based on spatiotemporal structure. In this paper we add...
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The problem of radio Labelling is to assign distinct integer labels to all the vertices of a graph, such that adjacent vertices get labels at distance at least two. The objective is to minimize the label span. radio l...
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It is known that for the adaptive filtering problem, the Multi Model Adaptive Filter (MMAF) based to the Partitioning Theorem is the best solution. It is also known that Genetic Algorithms (GAs) are one of the best me...
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It is known that for the adaptive filtering problem, the Multi Model Adaptive Filter (MMAF) based to the Partitioning Theorem is the best solution. It is also known that Genetic Algorithms (GAs) are one of the best methods for searching and optimization. In this work a new method, concerning multivariable systems, which combines the effectiveness of MMAF and GAs' robustness has been developed. Specifically, the a-posteriori probability that a specific model, of the bank of the conditional models, is the true model can be used as fitness function for the G A. Although the parameters' coding is more complicated, simulation results show that the proposed algorithm succeeds better estimation of the unknown parameters compared to the conventional MMAF, even in the case where it is not included in the filters bank. Finally, a variety of defined crossover and mutation operators is investigated in order to accelerate algorithm's convergence.
This paper presents a novel method for designing type-I and type-II single and double output TSC Berger code checkers taking into account a realistic fault model including stuck-at, transistor stuck-open, transistor s...
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This paper presents a novel method for designing type-I and type-II single and double output TSC Berger code checkers taking into account a realistic fault model including stuck-at, transistor stuck-open, transistor stuck-on, resistive bridging faults and breaks. A benefit of the proposed type-I single and double output checkers is that all faults are testable by a very small set of code words the number of which does not increase with the information length, that is, the checkers are C-testable. The proposed double output checkers are two-times faster than the corresponding single output checkers, but require for their implementation twice as many transistors as the single output checkers. The proposed single output checkers are the first known TSC Berger code checkers in the open literature, while the type-I single output checkers are near optimal with respect to the number of the transistors required for their implementation. The checkers of this paper with either, single or double output are significantly more efficient, with respect to the implementation area and speed than the already known from the open literature Berger code checkers.
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