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Artículo
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Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration
(IEEE Computer Society, 2019)
To reveal fault propagation paths is one of the most critical studies for the analysis of power system security; however, it is rather dif cult. This paper proposes a new framework for the fault propagation path modeling ...
Artículo
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Sequential Spiking Neural P Systems with Structural Plasticity Based on Max/Min Spike Number
(Springer, 2016)
Spiking neural P systems (in short, SNP systems) are parallel, distributed, and nondeterministic computing devices inspired by biological spiking neurons. Recently, a class of SNP systems known as SNP systems with ...
Artículo
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An efficient time-free solution to QSAT problem using P systems with proteins on membranes
(Elsevier, 2017)
P systems are a class of distributed parallel computing devices inspired by some basicbehaviors of biological membranes, which have the restriction that each rule is executedin exactly one time unit. However, it is natural ...
Artículo
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Fault Diagnosis of Metro Traction Power Systems Using A Modified Fuzzy Reasoning Spiking Neural P System
(Romanian Academy, Section for Information Science and Technology, 2015)
This paper presents the application of a modified fuzzy reasoning spiking neural P systems (MFRSN P system, for short) to fault diagnosis of metro traction power supply systems. In MFRSN P systems, three types of neurons ...
Artículo
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Fault Section Estimation of Power Systems with Optimization Spiking Neural P Systems
(Romanian Academy, Section for Information Science and Technology, 2015)
An optimization spiking neural P system (OSNPS) provides a novel way to directly use a P system to solve optimization problems. This paper discusses the practical application of OSNPS for the first time and uses it to ...
Ponencia
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Simulating FRSN P Systems with Real Numbers in P-Lingua on sequential and CUDA platforms
(Springer, 2015)
Fuzzy Reasoning Spiking Neural P systems (FRSN P systems, for short) is a variant of Spiking Neural P systems incorporating fuzzy logic elements that make it suitable to model fuzzy diagnosis knowledge and reasoning ...
Capítulo de Libro
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Design Patterns for Efficient Solutions to NP-Complete Problems in Membrane Computing
(Springer, 2018)
Many variants of P systems have the ability to generate an exponential number of membranes in linear time. This feature has been exploited to elaborate (theoretical) efficient solutions to NP-complete, or even harder, ...
Artículo
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A membrane parallel rapidly-exploring random tree algorithm for robotic motion planning
(IOS Press, 2020)
In recent years, incremental sampling-based motion planning algorithms have been widely used to solve robot motion planning problems in high-dimensional configuration spaces. In particular, the Rapidly-exploring Random ...
Ponencia
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The Efficiency of Tissue P Systems with Cell Separation Relies on the Environment
(Computer and Automation Research Institute Hungarian Academy of Sciences, 2012)
The classical definition of tissue P systems includes a distinguished alphabet with the special assumption that its elements are available in an arbitrarily large amount of copies. These objects are shared in a distinguished ...
Artículo
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P Systems Computing the Period of Irreducible Markov Chains
(Agora University of Oradea, 2009)
It is well known that any irreducible and aperiodic Markov chain has exactly one stationary distribution, and for any arbitrary initial distribution, the se- quence of distributions at time n converges to the stationary ...