Agnieszka Betkowska Cavalcante

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It is significant for companies to ensure their businesses conforming to relevant policies, laws, and regulations as the consequences of infringement can be serious. Unfortunately, the divergence and frequent changes of different compliance sources make it hard to systematically and quickly accommodate new compliance requirements due to the lack of an(More)
We focus on the problem of speech recognition in the presence of nonstationary sudden noise, which is very likely to happen in home environments. As a model compensation method for this problem, we investigated the use of factorial hidden Markov model (FHMM) architecture developed from a clean-speech hidden Markov model (HMM) and a sudden-noise HMM. While(More)
Emerging technologies of autonomic networks impose demanding requirements on self-healing capabilities of networks. Fault management techniques based on the exploitation of fault propagation models (FPM) are a promising solution to conduct fault isolation and infer the root cause of problems observed in the network. In this study, we investigate a fault(More)
Research in the area of Autonomic Networks is on the rise. Autonomicity-realized through control loops, is an enabler for advanced self-manageability of network nodes and devices. Therefore, the specification and design of autonomic behaviors is required for each of the management functions defined by the well established FCAPS network management framework(More)
We focus on the problem of speech recognition in the presence of nonstationary sudden noise, which is very likely to happen in home environments. As a model compensation method for this problem, we investigated the use of factorial hidden Markov model (FHMM) architecture developed from a clean-speech hidden Markov model (HMM) and a sudden-noise HMM. While(More)
We focus on the problem of speech recognition in the presence of nonstationary sudden noise, which is very likely to happen in home environments. To handle this problem, a model compensation method based on a factorial hidden Markov model (FHMM) has been recently introduced. In this architecture, speech and noise processes are modeled in parallel by a(More)
Process-driven service-oriented architectures (SOA) need to cope with constant changing requirements of various compliance requirements, such as quality of service (QoS) constraints within service level agreements (SLA). To the best of our knowledge, only little evidence is available if and in how far process-driven SOAs deal with the evolution of the(More)
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