We demonstrate how to configure and reconfigure a nanoelectronic nonlinear network to a universal set of logic gates by applying sequences of voltage pulses to the edges of the network. The nanoelectronic device is designed to consist of a self-assembled network of nanoparticles connected by two-terminal linker elements with hysteretic behaviour, allowing voltage-controlled switching between a ...

In this paper, we address the problem of the state assignment for synchronous finite state machines (FSM), targeted towards multilevel combinational logic and feedback register implementations. Optimal state assignment aims at a minimum area implementation. All previous work in automatic FSM state assignment has been directed at programmable logic array (PLA) i.e., two-level logic implementatio...

Markov logic is a highly expressive language recently introduced to specify the connectivity of a Markov network using first-order logic. While Markov logic is capable of constructing arbitrary first-order formulae over the data, the complexity of these formulae is often limited in practice because of the size and connectivity of the resulting network. In this paper, we present approximate infe...

In the world of designing network protocols, verification is a crucial step to eliminate weaknesses and inaccuracies of effective network protocols. There are many models and tools to verify network protocols, including, Finite State Machines (FSM), Colored Petri Nets (CP-Nets), Temporal Logic, Predicate Logic, Estelle Specification, Path based Approach etc. This paper presents a survey of vari...

This paper discusses the implementation of a fuzzy logic based coordinated voltage control for a distribution system connected with distributed generations (DGs). The connection of DGs has created a challenge for the distribution network operators to keep the voltage in the system within its acceptable limits. Intelligent centralized or coordinated voltage control schemes have proven to be more...

In this article the design and development of a hierarchical fuzzy logic system is investigated. A new method using an evolutionary algorithm for design of hierarchical fuzzy logic system for prediction and modelling of interest rates in Australia is developed. The hierarchical system is developed to model and predict three months (quarterly) interest rate fluctuations. This research study is u...