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For the last few decades IT has spread and grown. IT is no longer a minor factor, but a must have in all companies to maintain competitiveness and enhance growth. The subject concerned with the alignment of IT with business, to achieve maximum business value is called IT governance (ITG). The absence of transversal ITG is one of the main problems of the Portuguese Public Administration (PPA). This absence leads to a constant increase in the IT expenses over the years. To mitigate this problem, the Portuguese government created a strategic plan (PGETIC). However, due to the lack of an implementation method (among other factors), the savings are not meeting the objectives. To ease this problem I have grounded my work in the best ITG practices - COBIT 5. By relating these practices with the strategic plan, clear and thoroughly specified practices are provided to implement the generic measures (from PGETIC). Therefore, the goal is to apply a situational method to implement ITG in the PPA. A method that puts together COBIT 5 and PGETIC, considering the organization¿s current situation. To demonstrate and evaluate this proposal a field study in an organization of the PPA was performed.
The sound captured through a microphone is a rich information source that can be used to withdraw exact inferences about the speaker, its environment and social events. It is a modality that supports a wide set of features, such as conversation detection, activity recognizer, localization classification, social net structure discovery. However, it is traditionally used for its content, resorting to techniques like Automated Speech Recognition to understand what¿s said. But the sound itself, regardless of its semantics, can provide information. For example, in the course of a class, if the level of noise increases, this can indicate that some slide generated comments or that the students lost interest. This can be used to create a log of the student¿s interest in the several parts of the class, to improve it where needed. Similarly, in a meeting or lecture, it can indicate when a polemic subject was referred. If we go deeper, and analyse the sound¿s frequency, we can identify when a person is speaking and by analysing the timbre, we can recognize who spoke. Make More Noise!
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