Prosodic variations in unit-based speech synthesis: the example of interrogative sentences This paper proposes an automatic method to increase the number of possible prosodic variations in non-uniform unit-based speech synthesis. More specifically, we are interested in the production of interrogative sentences through the eLite text-to-speech synthesis system, which relies on the selection of n...

In this paper a number plate recognition system which has been designed using the ant colony optimization technique. This system can be implemented in surveillance systems, detection of stolen vehicles and checking of vehicles at toll plazas, posts, barriers sand other entry points. This research is focusing, an ant colony based number plate extraction method is proposed. Ant colony optimizatio...

In ant-plant symbioses, plants provide symbiotic ants with food and specialized nesting cavities (called domatia). In many ant-plant symbioses, a fungal patch grows within each domatium. The symbiotic nature of the fungal association has been shown in the ant-plant Leonardoxa africana and its protective mutualist ant Petalomyrmex phylax. To decipher trophic fluxes among the three partners, food...

This paper describes GRAF-ANT (Graphical Framework for Ant Colony Optimization), an objectoriented C# framework for developing ant colony systems that we have developed. While developing this framework, abstractions that are necessary for ant colony optimization algorithms were analyzed, as well as the features that their implementing classes should have. During creation of these classes, sever...

Ant-Q is an algorithm belonging to the class of ant colony based methods, that is, of combinatorial optimization methods in which a set of simple agents, called ants, cooperate to find good solutions to combinatorial optimization problems. The main focus of this article is on the experimental study of the sensitivity of the Ant-Q algorithm to its parameters and on the investigation of synergist...

The present paper is a short partial survey of some strategies that can be used to exploit the potential parallelism of the Ant System metaheuristic. The paper is composed of some introductory sections (that make it as self-contained as possible) followed by a description of Ant System applied to the Traveling Salesperson Problem in both the sequential version and some parallel versions.

Hyperspectral images (HSIs) generally contain a large amount of spectral bands (features), and the redundant information in them will cause Hughes phenomenon classification process. And feature extraction selection are two main existing methods to effectively reduce redundancy field HSIs classification. Compared with methods, can preserve most features original data without losing their valuabl...

We characterize the outcomes of the tertiary education market in a context where borrowing constraints bind, there is a two-tier college system operating under monopolistic competition in which colleges differ by the quality offered and returns to education depend on the quality of the school attended. College quality, tuition prices, acceptance cut-offs and education demand are all determined ...

There are various metaheuristic algorithms which are used to solve the Traveling Salesman problem. Ant colony optimization (ACO) is one such algorithm, which is inspired by the foraging behavior of ants. In this paper, we have proposed a modified model, entitled as Signed Adaptive Ant System (SAAS) for pheromone updation of the Ant-System; SAAS exploits the properties of Adaptive Filters. The p...