• Title/Summary/Keyword: basis automaton

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THE BASIS AUTOMATON FOR THE GIVEN REGULAR LANGUAGE

  • Vakhitova, A.A.
    • Journal of applied mathematics & informatics
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    • v.6 no.3
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    • pp.851-858
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    • 1999
  • A new problem of the theory of finite automata (Rabin-Scott's automata) is considered. So called basis automaton for the given regular language l is defined. this automaton is unique for the given L, it is defined by two au-tomata of canonical form: for L and for its inverse language LR. Some properties of basis automata are considered. Such properties make these automata most convenient for using in some special tasks dealing with the given regular language.

SOME PROPERTIES OF THE BASIS FINITE AUTOMATON

  • Melnikov, B.F.;Melnikova, A.A.
    • Journal of applied mathematics & informatics
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    • v.9 no.1
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    • pp.135-150
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    • 2002
  • The present paper discusses non-deterministic finite Rabin-scott's automate. The majority of works recently dealing with this subject were, in fact, concerned only with properties of a canonical term automata or of some objects equivalent to it. This article continues the series of works in which the authors state a different point of view, describing the finite automata as just another invariant of the given regular language called basis finite automaton. In this article the authors argue on some new properties for the basis finite automaton. One of them is included into basis automaton's table of binary relations. It is stated that this table can not contain either identical strings or identical columns. Another property depicts a possibility to obtain any finite automaton for a given regular language by the process of duplicating or combining some of its states.

POSSIBLE EDGES OF A FINITE AUTOMATON DEFINING A GIVEN REGULAR LANGUAGE

  • Melnikov, B.F.;Sciarini Guryanova, N.V.
    • Journal of applied mathematics & informatics
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    • v.9 no.2
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    • pp.645-655
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    • 2002
  • In this Paper we consider non-deterministic finite Rabin-Scott's automata. We define special abstract objects, being pairs of values of states-marking functions. On the basis of these objects as the states of automaton, we define its edges; the obtained structure is considered also as a non-deterministic automaton. We prove, that any edge of any non-deterministic automaton defining the given regular language can be obtained by such techniques. Such structure can be used for solving various problems in the frames of finite automata theory.

SOME REMARKS ON THE STRUCTURE OF FREE AUTOMATA

  • Park, Chin-Hong
    • Journal of applied mathematics & informatics
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    • v.6 no.1
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    • pp.217-226
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    • 1999
  • In this paper we define automata-linearly independence. An automaton M has a basis B iff M is free provided that we assume that the action of S on X $\times$ S is (x,sa) for all a, s $\in$ S and x $\in$ X. if a semigroup S is PRID every subautomaton of a free S-automaton is free.

ON AN EXPANSION OF NONDETERMINISTIC FINITE AUTOMATA

  • Melnikov, Boris
    • Journal of applied mathematics & informatics
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    • v.24 no.1_2
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    • pp.155-165
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    • 2007
  • We consider a possible generalization of nondeterministic finite automata. The goals of this consideration are: to apply some obtained algorithms for various problems of minimization of classical nondeterministic automata; to use such automata for describing practical anytime algorithms for the same problems of minimization; to simplify some proofs for algorithms of simplification for usual nondeterministic automata.

Inversion of Spread-Direction and Alternate Neighborhood System for Cellular Automata-Based Image Segmentation Framework

  • Lee, Kyungjae;Lee, Junhyeop;Hwang, Sangwon;Lee, Sangyoun
    • Journal of International Society for Simulation Surgery
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    • v.4 no.1
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    • pp.21-23
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    • 2017
  • Purpose In this paper, we proposed alternate neighborhood system and reverse spread-direction approach for accurate and fast cellular automata-based image segmentation method. Materials and Methods On the basis of a simple but effective interactive image segmentation technique based on a cellular automaton, we propose an efficient algorithm by using Moore and designed neighborhood system alternately and reversing the direction of the reference pixels for spreading out to the surrounding pixels. Results In our experiments, the GrabCut database were used for evaluation. According to our experimental results, the proposed method allows cellular automata-based image segmentation method to faster while maintaining the segmentation quality. Conclusion Our results proved that proposed method improved accuracy and reduced computation time, and also could be applied to a large range of applications.

An Efficient Complex Event Detection Algorithm based on NFA_HTS for Massive RFID Event Stream

  • Wang, Jianhua;Liu, Jun;Lan, Yubin;Cheng, Lianglun
    • Journal of Electrical Engineering and Technology
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    • v.13 no.2
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    • pp.989-997
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    • 2018
  • Massive event stream brings us great challenges in its volume, velocity, variety, value and veracity. Picking up some valuable information from it often faces with long detection time, high memory consumption and low detection efficiency. Aiming to solve the problems above, an efficient complex event detection method based on NFA_HTS (Nondeterministic Finite Automaton_Hash Table Structure) is proposed in this paper. The achievement of this paper lies that we successfully use NFA_HTS to realize the detection of complex event from massive RFID event stream. Specially, in our scheme, after using NFA to capture the related RFID primitive events, we use HTS to store and process the large matched results, as a result, our scheme can effectively solve the problems above existed in current methods by reducing lots of search, storage and computation operations on the basis of taking advantage of the quick classification and storage technologies of hash table structure. The simulation results show that our proposed NFA_HTS scheme in this paper outperforms some general processing methods in reducing detection time, lowering memory consumption and improving event throughput.