This paper presents a model, called the StoryToCode, which allows designing iTV programs focusing on using software components. First, StoryToCode allows transforming a storyboard into an abstract description of an element set. After this, this model transforms these elements into a specific programming language source code. In StoryToCode a software component is treated as a special element that can be reused in other contexts (web, mobile, and so on). StoryToCode is based on Model Driven Architecture (MDA) and allows designing and implementing applications, with context free, considering iTV program specific characteristics.
Over the years some models for multimedia spatio-temporal synchronization has been proposed. In most of these models, a known drawback is that they generally abstract the media content and consider only start and end events content presentation. Thus, it is not possible to specify synchronization relations involving "within" media content events. Highlights in a live TV show are examples of these events. In such cases, it may be expected that highlights "may occur", but it is not possible to determine "when". In order to solve this drawback, this article presents an approach for modeling live Interactive TV shows that support the definition of synchronization constraints related to events not known at authoring time. These events are structured in objects, using an object oriented paradigm, and broadcasted to TV receivers as way to assure the synchronization relations.
Identifying potential victims to avoid alert people who are not in danger is an open challenge to crisis communications systems. In an emergency situation alerting individuals out of danger can overload dissemination systems and lead to loss of system credibility because people can be overwhelmed with irrelevant information. This paper aims to investigate how to improve the message dissemination process in crisis communication by using context-aware computing concepts. We propose a system to identify potential victims and define a strategy with a better way to contact them. For evaluation we performed two case studies with real emergency messages. Finally, we discuss ways to identify potential victims of emergency situations.
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