Fernanda S. H. Souza

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This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence, making it capable, by interacting with its environment, to acquire and retain knowledge for reasoning (infer an action). This new model, named reinforcement learning hierarchical(More)
The Brazilian symposium on computer networks and distributed systems (SBRC) reached its 30th edition as the paramount scientific event in the area of computer networks and distributed systems in Brazil. Faced with this opportune moment in the event’s history, we here study the collaboration network established among authors who have jointly published in the(More)
Intelligent Transportation Systems (ITS) demand sophisticated vehicular networks integrating entities from the transportation sector. The ability to plan and manage such networks represents a key challenge for moving ITS solutions from laboratories into the streets. In this work, we propose Gamma Deployment as a metric for evaluating the distribution of(More)
In this work we propose a framework based on the small world features to design Heterogeneous Sensor Network (HSN) topologies with QoS. The framework creates three different topologies and each topology has its goals related to the latency and energy consumption during data communication. We also propose a routing algorithm that uses the created topologies(More)
In Wireless Sensor Networks (WSNs) there are network functions and applications that need to know the localization of a node such as the association of the sensed data with a given position. In general, it may be impossible or unfeasible to have either a planned deployment or a localization hardware. Thus, an important problem in wireless sensor networks is(More)
In this paper we present a case study in the industry about the application of a test case generation method based on B machine specifications. First we describe the step-by-step process of the test case generation method and then we present its use in a particular case study for door controlling module from a subway system. Lastly, we discuss the results(More)
Gamma Deployment is a metric for evaluating the distribution of roadside units in vehicular networks in terms of two parameters: a) the inter-contact time between vehicles and the infrastructure; and, b) the share of vehicles that must respect the inter-contact time guarantees. We envision the use of the Gamma Deployment metric when the network designer(More)
The emergence of WDM technology has provided the explosive traffic growth on telecommunications networks. Although in future networks a request may require more than a single wavelength, in general, in today’s networks, the size of a single request tends to be much smaller than the capacity of a wavelength channel. Thus, the need for traffic grooming became(More)